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CXC Study Guide - Mathematics for CSEC

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Mathematics
for
CSEC®
2nd
edition
Online
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Mathematics
for
CSEC®
2nd
edition
Andrew
Marcus
Caine
Angella
Patricia
Ava
Manning
Finlay
George
Mothersill
3
Great
Clarendon
Oxford
It
University
furthers
and
Oxford
The
published
rights
in
means,
Press,
or
as
Enquiries
must
impose
British
Data
by
the
No
the
the
of
UK
and
University
excellence
worldwide.
the
the
Kingdom
Oxford
in
in
is
certain
a
of
Oxford.
research,
scholarship,
registered
other
trade
mark
countries
authors
by
have
Thornes
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of
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2012
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Nelson
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978-0-1984-1452-0
1
3
5
7
9
Printed
10
in
8
6
4
2
China
Acknowledgements
Cover
photograph:
Mark
Lyndersay,
Lyndersay
Digital,
Trinidad
www.lyndersaydigital.com
Inside
photograph:
Illustrations:
Page
iStockphoto
Tech-Set
make-up:
Limited
Tech-Set
and
Limited,
Mike
Bastin
Gateshead
Photographs
p47:
iStockphoto
p49:
iStockphoto/Jacqui
Although
we
copyright
cases.
the
the
this
notied,
earliest
Links
and
If
to
for
have
holders
made
every
before
the
effort
publication
publisher
will
to
trace
this
has
rectify
and
not
any
contact
been
errors
all
possible
or
in
omissions
opportunity.
third
party
information
materials
work.
Paterson
websites
only.
contained
are
provided
Oxford
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by
disclaims
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Oxford
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good
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responsibility
website
referenced
for
in
all
at
of
Contents
Introduction
1
Module
3
lebra
and
Module
1
Number
and


1.1
1.2
theory,
consumer
T
ypes
of
Highest
1.3
common
natural

1.4
with
factor
and
1.5
eal

1.6
oney
oring

1.8
tandard
with
real
more
with
or
decimals
form

1.1
roperties
of
1.12
Interest
less
and
patterns


3.2
irected
numbers

3.3
ombining

3.4
inary

3.5
panding

3.6
urther

3.7
hanging

3.8
inear

3.
uadratic

3.1
imultaneous

3.11
urther

3.12
ariation
12

3.13
Inerse
14

3.14
elations
16

3.15
unctions
18

3.16
raphs

3.17
The

3.18
oling
easures

1.14
arning
and
1.15
ets

1.16
ombining
86
factorising
factorising
the

subect
of
a
1:
and
numbers
seuences
and
and
spending
operations
depreciation
money
sets
2
euations
4
euations
6
euations
simultaneous
8
euations
1
16
ariation
18
2
of
linear
functions
11
24
euation
of
a
straight
line
112
problems
using
gradient
28
intercept
114
stimating

2.2
erimeter

2.3
ircles

2.4
urface

2.5
olume

2.6
nits
area
and

3.1
urther

3.2
Ineualities

3.21
Ineualities

3.22
omposite

3.23
uadratic

3.24
ore

3.25
Trael
of
linear
graphs
116
118
4
eam
and
and
uestions
statistics
scale
drawing
area
8
4
and
two
unnowns
inerse
functions
functions
graphs
of
12
:
122
124
functions
126
graphs
odule
42
area
with
6
128
ractice
eam
uestions
1
44
46
Module
of
properties
2
ractice
Measurement
2.1
measurement
4
eometry

2.7
T ime

2.8
easurement
distance

2.
ata
and
and

trionometry
and
48
ectors
speed
accuracy

matrices


4.1
roperties
of
lines
and
angles
12

4.2
arallel

4.3
roperties
uadrilaterals
16

4.4
roperties
18

4.5
onstructing
angles

4.6
onstructing
triangles

4.7
imilarity

4.8
ythagoras’

4.
ymmetry
2
lines
14
4

2.1
isplaying
information
1
6

2.11
isplaying
information
2
8

2.12
easures

2.13
rouped

2.14
hich

2.15
easures
of
central
tendency
data
of
2.16
umulatie

2.17
ummary
of
of
triangles
and
polygons
6
14
62
aerage

and
dispersion
2.18
robability

2.1
robability
and
congruence
freuency
theorem
2:
144
146
68
reections
and

148
2
theory
ombining
odule
142
66
statistics

polygons
64
rotations
2.2
formula
14
diagrams


88

odule
2
and
26

Module
operations
6
and
enn
82
84
12
indices
appreciation
1.13
1.17
substitution
22


and
epressions
numbers:
ratios
Ordering
ases
8
1
1.
1.11
numbers
numbers:
and


for
8
…
1.7
ymbols
4
numbers

3.1
lowest
fractions


2
real
numbers
Operations
unctions
sets
multiple
Operations
relations,
arithmetic
number
common

computation,
and
raphs
probabilities
ractice

4.1
urther

4.11
Threedimensional
transformations

4.12
Trigonometry
1
4
eam
shapes
12
6
uestions
14
8
iii
Contents

4.13
urther

4.14
The
uses

4.15
The
sine

4.16
The
cosine

4.17
ircle

4.18
T
angents

4.1
ectors
area
of
of
a
trigonometry
trigonometry
triangle
and
in
dimensions
three
rule
rule
16

4.2
ector

4.21
atrices
18

4.22
atrices
16

4.23
atri
162
theorems
geometry
and
odule
4:
chords
can
be
accessed
online
at
wwwofordsecondarycom8184142
i
eam
uestions
18
eam
practice
18
166
168
support
ractice
14
16
164
nswers
dditional
transformations
algebra
urther
and
1
12
182
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1

1
Number
sets
and

theory,
consumer

pes
RI
stnush
tpes
•
of
between
number
nderstand
the
4
3
2
1
0
1
2
3
4
5
dfferent
Structure
number
between
of
arithmetic
S
5
•
computation,
reatonshp
dfferent
tpes
If
we
count
backwards
from
5,
we
don’t
have
to
stop
at
zero.
of
5,
4,
3,
2,
1,
0,
−1,
−2,
−3,
−4,
−5,
etc.
number
•
he
countn
numbers
•
ero
•
he
s
not
Integers
whoe
•
a
natura
numbers,
•
numbers
often
natura
Z
are
Rational
a
3,
4,
5,
smbo
toether
b
etc.
are
caed
natural
N.
wth
zero
make
up
the
whole
W
the
…,
natura
−,
numbers
2,
the
number.
numbers
dented
numbers
1,
ven
Q
−,
are
numbers,
−5,
a
−4,
the
zero
−3,
and
−2,
numbers
the
−1,
that
neatve
0,
can
1,
be
2,
3,
….
wrtten
R
as
7
a
fracton.
he
ncude
the
nteers,
termnatn
1
2.7
decmas
Q
for
eampe
−3,
−1,
0,
1,
4,
2
,
2
6
and
recurrn
11

,
,
3
0.5,
5.333.

Z
•
Irrational
numbers
cannot
be
wrtten
eact
as
a
fracton
or
a

W
0
decma,
as
the
never
he
numbers,
recur.
ampes
ncude
π
and
√
2.
N
4
•
real
R,
consst
of
the
ratona
numbers
and
rratona
numbers.
he
enn
daram
daram
eampes
Factors
on
are
and
composite
weve
and
hs
s
because
2
a
s
bottes
bottes
=
ne
2
×
eft
n
shows
a
Venn
diagram
representaton
red.
multiples,
odd
and
even,
prime
and
numbers

12
the
ven
coud
t
nto
a
rectanuar
bo
that
s
2
bottes
wde
on.
12
s
n
the
2
tmes
tabe.
e
sa
12
s
a
multiple
of
factor
bottes
of
12,
w
because
not
t
12
eact
can
nto
be
a
dvded
eact
rectanuar
bo
b
2.
that
s
2
bottes
wde.
hs
s
because
utpes
he
ast
2
of
2
ure
eampe,
2.
.
34

s
2,
or
or
not
4,
,
a
,
unts
156.
mutpe
10,
dt
…
of
of
are
an
2.
caed
even
even
number
numbers.
s
awas
even
for
umbers
that
numbers.
eampe,
ne
hs

bottes
s
are

1
or
caed
suare
4
t
because
umbers
are
ke

,
omposite
of
awas
2
1,
have
a
3,
5,
unts
,
…
dt
are
that
caed
s
odd
odd
for
245.
a
3
b
3
mutpe
a
100
bo.
of
suare
=
10
3.

=
3
×
3.
bo
×
10
numbers
s
w
caed
a
nto
4,
number
hs
s
mutpes
n
s
suare
bottes
or
t

×
even
ese,

w
that
=
not
numbers
because
umbers
e..
are
dd
the
onl
s
resut
t
onl
that
a
are
prime
n
of
a
1
mutpn
b

mutpe
mutpes
an
nteer
b
tsef.
crate.
of
of
1
1
and
and
.
themseves
and
nothn
numbers
numbers
are
natura
numbers
wth
more
than
two
factors.

IS

atura
numbers
2
hoe

Inteers
numbers
…
−3,
1,
0,
2,
1,
−2,
3,
2,
4,
3,
−1,
…
4,
0,
…
1,
2,
3,
…

I
2
4
atona
numbers
2,
−5,
0.,
,
0.4
,
…


Irratona
6
ea

utpes
√
numbers
numbers
he
,
π,
…
ratona
and
rratona
numbers
•
1
is
no t
•
2
is
the
n
are
the
resuts
of
mutpn
n
b
a
no t
natura
and
number.
are

ven

dd
numbers
are
the
mutpes
of
are
the
natura
equa
l
that
are
not
prim
e
to
or
factor
s
factor
s
smal
ler
multip
les
are
mutpes
equa
l
of
confus
e
2.
numbers
num
ber
.
even
multip
les;
while
numbers
prim
e
only
num
ber
.
toether.
• Do
of
a
to
or
larger
.
2.

actors


of
prme
n
are
the
number
eact
has
dvsors
eact
two
of
n
factors,
1
and
tsef.
SR
SIS

the
hch
of
words
prme
nteer
natura
IVI
In
the
that
1th
ever
centur,
even
odbach
number
a
reater
famous
than
2
mathematcan
coud
be
made
b
stated
rratona
addn
app
even
to
suare
the
number

toether
tart
4
to
and
two
check
50
as
prme
ths
the
numbers.
b
epressn
addton
of
two
a
the
prme
even
numbers
numbers
the
a
1
b
c
1
d
e
−
f
√

between
same
5
prme
5

number
can
be
used

11
twce.
2
nd
two
factors
numbers
of
20
and
that
are
are
prme
numbers.

2
ighest
and
common
lowest
factor
common
multiple
Factors
RI
he
•
st
the
factors
and
a
factors
postve
no
ompute
two
or

and
postve

nteers
eatve
ou
−4,
In
hen
factors
list
num
ber

facto
rs
pairs
multip
ly
the
see
−,
same
that
to
of
of
facto
rs
ma
e
starti
ng
prime
he
prme

the
ents
and



b
whch
are
3,
4,
,
the
product
of
a
3.2,
and
1,
2,
so
can
be
dvded
,
12
and
24.
the
postve
factors
of
24
and
are
neatve
aso
−1,
number
−2,
−3,
−24.
factors
the
factors
of
same
of ten
the
of
−
coour
are
1,
−.
mutp
−1,
to
,
2,
−3,
−2,
3.
−.
number
are
are
mutpn
t
2
and
ts
b
an
3.
factors
he
that
are
multiples
prme
of
a
numbers.
number
are
nteer.
of

are
,
14,
21,
2,
35,
etc.

highest
number
common
that
s
a

factor
factor
of
of
two
both
or
or
a
more
of
numbers
s
the
them.

he
factors
of
5
are
1,
2,
4,
,
,
14,
he
factors
of
4
are
1,
2,
3,
4,
,
,
he
common
2,
12,
5
14,
21,
2,
42,
4
confus
e
2
an
so
is
cann
ot
the
a
24
factors
are
1,
2,
4,
,
14,
2

.
H
will
origin
al

of
of
mutpes
and
F
be
is
a
s
the

as
t
s
the
arest
number
n
both
sts.
a
smal
ler
num
bers.
he

lowest
smaest
common
number
that
s
multiple
a
mutpe
of
of
two
both
or
or
more
a
of
numbers
s
them.



be
smal
ler
origin
al
R

2
num
bers.
he
mutpes
of
he
mutpes
of
0
s
rme
the

factors
numbers
number
are
20
as
can
nto
12
t
be
pars
are
s
12,
20,
the
found
of
24,
40,
3,
0,
smaest
from
factors,
4,
0,
the
2,
100,
number
factor
wth
0,
n
trees.
,

120,
...
...
both
sts.
factor
branches
10,
tree
endn
spts
wth
a
prme
crced.
42
6
Prime
4,
120,
126
420
4
t
1.
the
than
are
the
n
factors
resuts
he
with
I
em
embe
r
it
24
nt
−12
wa,
R

he
nteers
that
hhest
so
n
pars
he
he
than
the
a
F
H
are
I
listin
g
Stud
of
numbers
w
−,
ote
num
ber

that
number
of
as

a
nteer
the
more
of
remander.
he
•
multiples
mutpes
wth
of
and
S
factors
of
2
10
7
7
420
63
=
2
×
2
×
3
×
5
×
7
Prime
factors
of
126
9
=
2
×
3
×
3
×
7
nother
method
numbers
unt
of
the
ndn
end
prme
resut
s
factors
s
to
keep
dvdn
b
prme
1
1


)
00
1

3
)

021
3

5
)
2


o
)
nd
210
3
prme
)
021
03

420
=
the
nother
)


2
003

105

)
)
2
×
F
wa
of
2
×
and
5
×

ndn
3
×
b
the

2
using

and
)
prime

s
12
=
2
×
3
×

×
3
factors
to
spt
the
numbers
nto
factors.
HCF
st
the
hen
prme
seect
the
R
420
=
2
12
=
2

=
factors,
puttn
factors
that

×
2
×
2
3
×
3
are
×
×
factors
common
to
n
ne

vertca.
sts.

3
×
dentca
5
3
×

×

×

=
42
LCM
st
the
hen
prme
seect
factors,
the
factors
puttn
that
dentca
appear
n
factors

I
n

ne

vertca.



IVI
R
420
=
2
12
=
2

=

×
2
2
×
SR
2
4
×
3
×
×
3
×
3
×
3
×
3
5
×
5
×

×

×

nd
two
of
and

here
=
nd
the
c
2
0
0
nd

and
b
42

d
4
and
0,
4
42
c

20
1
ane,
and
and
ud
b
30
and
but
ever
d
ohn
the
2
rime
b
42.
a
nd
ove
t
to
ver
pa
20
and
factors
prme
the
a
ears,
paed
toether
are
end
resut
he

found
dvdn
numbers
s
to
a
b
number
unt
the
1.
1,
20
ud
and
arnva
epensve.
ever
3
ears
n
s
n
200,
n
whch
ear

rndad
ohn
w
the
ommon
factors
that
product
of
the
30.
ecause
and
hest
actor
of
the


ever
cost,
5
the
net
are
common
to
sts.
ane
he

owest
ommon
ears.
utpe
If
pars
1

pas
dfferent
of
30
and

obao,
10.
IS
repeated
2
a
four
of

of
4
and
the
are

an
SIS

a
an
wth
nd
120


numbers
pa
the
s
factors
other
or
the
n
product
one
st
or
of
the
both.


perations
numbers
numbers
with
real
natural
and
decimals
Rounding
RI
S
400
he
•
ound
off
to
a
ven
attendance
•
ound
of
•
decma
off
and
•
to
a
utp
ven
match
was
32.
THE
s
the
newspaper
0
WAT
CH
CRIC
KET
MA
TCH
headne.
and
he
newspaper
has
he
attendance
rounded
the
attendance
to
the
nearest
thousand.
number
ures
subtract
numbers
crcket
paces
sncant
dd
a
number
ere
of
at
natura
afwa
was
between
s
between
3500,
so
3000
the
and
4000.
attendance
was
coser
to
4000.
decmas
natura
numbers

o
round
off,
of
nterest.
awas
ook
at
the
net
dt
to
the
rht
of
the
ast
dt
and
If
t
s
5
or
more,
round
up,
otherwse
round
down.
decmas
ecimal
•
vde
natura
numbers
decmas

ecma
I
in
you
paces

o
round
us
whether
to
a

answ
ers
nd
ures
are
of
up
decma
or
the
decma
paces,
the
pont.
net
decma
pace
tes
down.
sncant
ecept
for
eadn
zeros
n
a
decma.
mista
es
to
round


0.00
2
decma
paces
s
4.32.
s
the
3rd
decma
pace
s
,
up.
0.00452
are
to
2
not
sncant
sncant
ures
s
0.0045.
he
eadn
zeros
ures.
I
he
no t
round
after
calcu
latio
ns.
we
Sign
dts
rst
4.313

the
gures
R
your
are
number
to
Signicant
stim
ating
helps
places
and
ica
the
nt
same
gur
es
as
3rd
sncant
ure
s
2,
so
we
round
down.
are
decim
al
places
.
omputation

o
add
ther
and
pace
ddition
subtract,
t
s

wo
have
ppes
tota
3. m

mportant
subtraction
to
an
the
dts
accordn
+
t
a
2
enth
enth
of
s
3. m
and
1.4 m,
he
1.4 m
3. m
h
respectve.
dfference

−
t
n
3
.

1
.
4
3
.
1
.
enth
h
a
−
arr
the
0
4
0
to
1
avod
mstakes
reate

ten

ten
hundredths
5
.
2

tenths
over
as
2
.
3
4
one
1
6
1
unt
s
1.4 m
dd

+
to
vaue.
R
he
and
tenth
from
omputation
ultiplication

Natural
hen
R


digit
42
×
of
×
4
multip
lyin
g
of
one
multip
lied
23
4
1
I
numbers

2
2
3
1

utp
42
utp
42
dd
two
b
the
num
ber
by
o ther
every
every
is
digit
num
ber
.
3
2

4
4
0

5

b
20,
b
nsertn
a
zero
and
then
mutpn
42
b
2
1
1
0
the
cacuated
nes
toether.
Decimals
R
4.2
×
o
42
poston
he
×
the
ueston
ou
4
2.3
utp

o

need
23
above.
decma
4.2
3
as
×
×
23
=
105
pont
2.3
paces
42
of
has
a
tota
decmas
of
n
3
the
paces
of
answer
decmas.
10.5
an
omputation
utp
natura
both
dvsor
and
dvdend
b
10
unt
the
dvsor
s
reasonn
a
dvde

4.1
b

0.
utp
both
b
10
41.
÷
IVI

0
)
ames’
ivision
rte


foow
number.
R

o
the
ou
down
a
dt
number
b
4
4
1.
rom
the
eft
4
÷

=
0
remander
4
repeatn
e..
a
3dt
number,
2525
0 5

)

4
4
1.
41
÷

=
5
remander
1
vde
t
b
vde
the
vde
that
.
answer
b
11.
0 5 .2

)

4
4
1
1.

1
÷

=
2
hat
4.1

÷
0.
=
SR

ou
2
se


o
add
4

o
mutp
b
estmaton
the

roundn
to
to
decma
dvde
dvsor
ne
decmas,
s
or
b
ben
b
an
paces
or
sncant
ures.

estmate.
subtract,
numbers
ever
the
round
or
ou
b
13.
notce
5.2
IS
can
do
answer
a
up
dts
poston
addn
b
the
the
pace
2.5
to
a
2
decma
paces
b
1
sncant
ure.
vaue.
decma
number
ound
SIS
of
pont
n
the
decma
2
utp

vde
2.
b
1..
answer
paces
n
4.2
b
0.4.
mutped.
decma.
utp
both
numbers
b
10
unt
nteer.

4
perations
numbers
ommon
RI
nderstand
euvaent
dd
and
•
and
how
to
to
subtract
number

a
fracton
a
fracton
s
vdn
b
a
whoe
caed
n
ts
owest
have
no
fracton
both
numerator
1
1
÷

fractons
when
the
numerator
and
factors.
and
denomnator
b
a
common
factor
s

=
24
med
and
3

=
vde
terms
common
cancelling

•
terms
fractons
numbers
or
lowest
nd
fractons
med
utp
fractions
fractions
denomnator
•
real
S
ancelling
•
with
1
÷

4
numbers
Equivalent
uvaent
fractions
fractons
are
fractons
can
fractons
whch
are
the
same
part
of
a
whoe
one.
uvaent
numerator
2

and
2
×
3
5
×
3


=
dding
and
ractons

found
b
b
the
2
×
5
5
×
5
=
15
mutpn
same
or
dvdn
the
amount.
10

=
5
be
denomnator

=
25
subtracting
can
on
be
added
or
subtracted
f
the
have
a
common
denomnator.
If
the
denomnators
make
the
are
dfferent,
denomnators
then
use
euvaent
fractons
to
eua.
Adding
3
2
+
5
3
he
denomnator
s
15
because
t
s
the

IVI

10

=
3

of
+
15
3
and
5,
the
orna
denomnators.
15
the
est
Indan
mutpn
rcket
b
3,
and
15
10

2
1

of


=
5
=
mutpn
b
5.
15
3
3
uad
for
the
2010
tour
of
r
here
1
were
batsmen,
fteen
fteenths
n
a
whoe
one,

=
1
15
were
are
4

=
1

anka
1

so
15
=
a
whoe
one
and
4
more
fteenths.
15
5
bowers
and
the
rest
were
a
Subtracting
rounders.
3
1
3
hat
fracton
were
arounders
−
1
4

hen
1
ow
man
crcketers
do
=
numbers.
−
the
there
were
atoether
denomnator
n
3
21

suad
=
−
fractons
common

o

=
12
ultipling
ut
convert
nd
a
to
med
common
=
12
and
use
euvaent
fractons.
1
hane
back
to
a
med
number.
12
and
can
12

dividing
be
mutped
or
dvded
numbers
mutp
a
must
fracton
b
be
an
chaned
nteer,
nto
wrte
3
denomnator
of
1,
e..
wrte
3
as
.
1

addn,
there
s
no
need
to
have
denomnator.
med
wth
subtractn,
ke
5
1

12
n
or
ust
4

thnk
addn


ou
mproper
the
fractons.
nteer
as
a
fracton
a
2
1
1
×
hen
2
mutpn
or
dvdn,
an
med
numbers
must
be
made
4
3
nto
an
mproper
fracton.

5

=
here
are
three
thrds
n
a
whoe
one,
so
1
5
3
hen
multipling
onl ,
ou
can
cance
the
I
5
2
+
=
3
3
•
3
=
s
3
4
3
3
2
×
numerator

ou
do
nd
and
×
1
no t
the
to
when
4
denomnator
15
3

=
=
utp
the
of
dfferent
numerators
fractons.
and
vde
mutp
the
the

and
the
3
denomnators.
b
3.
multip
lyin
g
fteen
but
3
4
you
or
mus
t
4
uarters
make
3
whoe
ones
and
three
more
dividi
ng
when
uarters.
addi
ng
1
3
need

or
subtra
cting
.
1
÷
1
hane
to
mproper
• ear
n
fractons.
4
3
with
10
5

=
hen
dvdn,
invert
the
second
fraction
the
dvsor
4
10
4
to
wo r
fractio
ns
on
your
and
÷
3
how
calcu
lato r
.
multipl

=
ow
ou
are
multipling ,
ou
can
cance
the
numerator
and
×
5
3
denomnator
2
of
the
dfferent
fractons.
4
=
×
In
ths
case,
cance
the
10
and
5
b
dvdn
both
b
5.
1
3
IVI

2
=
=
2
3
3
1
acom
sas
that

÷
=
4.
2
was
smpf
our
answers
b
wrtn
them
as
med
numbers
ow
where
approprate,
and
wrtn
the
fracton
n
ts
owest
that

he
coud
he
s
convnce
hm
wron
IS
chart
beow
summarses
how
ddition
to
cacuate
wth
fractons.
Subtraction
hane
an
med
ultiplication
numbers
nto
mproper
rte
nd
a
common
denomnator
an
ivision
fractons
nteers
as
a
nd
euvaent
fractons
wth
If

as
denomnator
subtracton
performed,
cannot
break
whoe
the
dd
or
subtract
the
one
rst
and
wth
a
1
dvsor
be
down
add
across
fractons
f
possbe
to
fracton
fractons
utp
ance
hane
SR
of
Invert
ance
a
fracton

denomnator

ou
terms.
to
f
med
numerators,
mutp
denomnators
possbe
number
f
possbe
SIS
acuate
3
1
a
1
1
−
b
2
4
2
5
2
×

c
4
3
+
3
1

1
2

budn
has
a
heht
of

m.
2
1
ow
man
scaffodn
bocks
of
heht
1
m
4
w
be
needed
to
reach
the
top


Real
numbers
onversions
RI
Fractions
•
onvert
between
decmas
between
real
numbers
S
and
and
decimals
fractons,
ractons
percentaes
are
a
short
wa
of
wrtn
a
dvson.
2
•
press
one
fracton
or
uantt
as
percentae
2
a
hs
s
wh
the
dvson
sn
ooks
ke
a
fracton.
5
of
5
3
means
another
•
÷
.

acuate
a
fracton
percentae
•
3
acuate
of
the
a

o
or
whoe
from
chane
a
fracton
to
a
decma,
dvde
the
numerator
b
the
denomnator
uantt
a
0.
3

5

fracton
or
percentae

)
3
3.

0
3
4
0
0
=
0.35


o
chane
wth
R

t
0.

5
a
ecimals
has
a
ast
dt
n
5
0.5
=
and
are
o,
to
the
dts
are
chane
two
=
chane
dts
a
two
of
a
100
whoe
tmes
Fractions

o
I
wrte
dt
one,
as
the
decma
part
as
a
fracton
denomnator.
whereas
ber
decma
to
than
a
to
0.0
the
=
percentaes
are
part
of
the
euvaent
percentae,
to
mutp
b
100
b
movn
eft.
a
=
decma,
5.5
dvde
b
100
b
movn
and
0.
24
=
0.24
to
then
a
to
percentae,
a
rst
percentae
b
chane
t
to
mutpn
a
b
decma
100.
means
R

percen
tage
can

2
be
5
writt
en
fractio
as
n
a
comm
on
with
deno
minat
or
• lwa
ys
answ
ers
give
in

0. 5
a
of
)
5
5.
5
5
0
…
=
…
=
55.
to
1
decma
pace
0
1.
their
lowes
t
chane
a
percentae
to
a
fracton,
wrte
the
percentae
as
s.
fracton
of
100.
R

4
=
2.5

=
100

12

4

55.555
5
0
fractio
nal

o
term
5


the
rht.
divisi
on.
•
100.
decma.
percentages
fracton
dvdn
a
0.55
percentae
=
to
the
40
and
chane
b
a
paces
paces
0
n
ast
20

o
fractio
fracton,
percentages
part
ercentaes
1

0.4
• 
a
the
=
100

to
of
pace,

so
vaue
the
ecmas
hundredths
decma
pace

h

the
25

2.5
25
=
125

=
100
25

=
1000
5

=
200
=
40

a
pressing
one
uantit
as
a
fraction
or
percentage
of
another
IVI
2
s
we
as
meann
dvson,
a
fracton
aso
means
‘out
of’,
so
means
5
2
out
of
he
5.
of
12
12
as
a
fracton
of
30
s
percentae,
=
=
2
÷
5
=
0.4
=
•
calculate
a
3
mon
of
these
ve
n
amaca.
40
5
30

o
popuaton
5
bout
a
a
2

s
has
mon.
=
30
12
40
2

o
arbbean
about
fraction
or
a
percentage
of
a
uantit
hat
percentae
arbbean
of
the
popuaton
ves
n
amaca
utpcaton
means
‘ots
of’.
hree
ots
of
15
=
3
×
15
=
45.
•
hen
dean
wth
fractons,
we
ust
sa
‘twothrds
of
1’
esearch
some
of
‘twothrds
ots
of
1’.
In
ths
sense,
‘of’
means
and
to
nd
of
of
1,
other
popuaton
arbbean
of
sands
mutp.
2
o
the
nstead
nd
the
out
tota
what
ve
percentae
on
these
cacuate
3
sands.
2
×
1

o
×
40
of
calculate
=
12 k
the
=
=
1
0.4
whole
12

×
1
3

2

=
3
nd
1
2
=
1
×
12
from
12
1
=
a
4. k.
fraction
or
percentage
2
chae
saves
of
hs
waes.
e
saves
4.
5
1
o
of
hs
waes
s
4
÷
2
=
32.
s
waes
are
5
×
32
=
10.
5
are
o
pas
1
=
a
5
50
depost
÷
5
=
of
50
130.
he
for
car
a
car.
costs
100
×
130
=
13
000.
ap

of
the
arbbean
IS
SR


o
chane
a
fracton
to
a
decma,
dvde
the
numerator
to
a
fracton,
dvde
the
decma
b
SIS
the
denomnator.

2

o
chane
b
the
a
decma
rte
part
a
pace
vaue
of
the
ast
ure,
and
30
as
owest
32
0.32
=

o
chane
to
the
eft
n
ts

=
100

fracton
terms


e..
a
smpf,
a
25
decma
to
to
mutp
a
b
percentae,
100,
e..
move
0.25
=
the
dts
2
b
0.45
as
c
5.5
a
percentae
paces
as
a
decma
and
2.5
as
a
fracton
n
ts
owest
terms.
4

o
chane
paces
to
a
percentae
the
rht
to
to
a
dvde
decma,
b
100,
move
e..
the
3
dts
=
two
0.3.
2


o
chane
a
fracton
to
a
percentae,
chane
t
to
a
hch
s
reater,
and
b
how
much
decma
3
and
then
to
a
35
percentae.
of
45
or
of
40

6

o
chane
a
percentae
to
a
fracton,
wrte
the
percentae
45
a
fracton
of
100
and
smpf,
e..
45
=
as


schoo
has
350
students.



=
100
25
5
2
of
rs
hat
them
are
are
rs.
efthanded.
fracton
of
the
rs
are
efthanded

6
one
rot
RI
S
•
dscount,
acuate
,
•
prot
press
saes
and
prot,
ta
as
a
saes
dscount,
percentae
•
vaue
ove
probems
purchase,
nvovn
prot,
oss
or
less
loss
he
cost
prce
pus
he
cost
prce
mnus
the
prot
ves
the
sen
prce.
rot
and
oss
are
the
oss
epressed
ves
as
the
sen
percentages
prce.
of
the
cost
price
of
If
some
more
ta
oss
oss,
and
…
hre
I
bu

a
car
for
percentae
and
12 000
oss
and
se
t
ater
for
10 000,
m
oss
s
2000.
s
2000

=
dscount
0.1
…
=
1.
to
1
decma
pace.
12 000
iscount
R

hops

off
arr
bus
wants
to
a
char
se
t
to
for
250
make
a
sometmes
the
prce,
for
offer
a
dscount
eampe
n
a
ths
s
a
percentae
that
the
take
sae.
and
15
R

2
prot.
ver
s
prot
s
15
of
there
=
0.15
must
250
×
se
+
250
t
=
3.50,
so
he
=
s
a
some
20
shoes
n
the
sae.
he
norma
cost
0,
but
dscount.
he
for
3.50
sees
250
2.50
dscount
cost
0
−
s
20
14
=
of
0,
or
0.2
saes
ta
×
0
=
14,
so
the
shoes
5.
V
an
15
hs
an
sands
on
s
added
tem
2
=
ire
that
0.15
nd
a
hre
acuate
×
purchase
or
the
percentae
dea
from
cataoue.
addtona
ou
pa
b
a
to
to
=
bu
prce
that
4.20,
oods
start
wth,
nstaments.
wanted
200
foowed
pad
hs

eter
e
the
otherwse
2
ou
R
newspaper
on
mht
mone
month
IVI

,
or
consumpton
ta
of
around
ou
cost
so
pa
2
the
for
has
tem
oods
15
n
the
added
actua
costs
shop,
on.
15
so
of
32.20.
purchase
ometmes
some
chare
oods.
200
to
bu
b
+
24
hre
usua
a
purchase.
depost,
costs
hs
means
foowed
more
than
b
pan
a
bun
number
t
motorbke
month
×
35
usn
for
00.
nstaments
=
e
of
pad
a
depost
of
35.
1040
140

o
he
pad
an
etra
140,
or
=
0.15555
=
15.
…
00
hre
2
purchase.
to
1
decma
of
outrht.

a
24
on
caed
pace.
Reverse
percentages
ercentae
the
chanes
original
R
son

sees
he
wants
he
cannot
sae
prce,
he
or
prot,
oss,
dscount,
ta
are
awas
based
on
amount
a
handba
to
know
work
and
reases
4
t
the
that,
n
a
how
out
f
much
b
25
sae.
t
ndn
has
25
cost
25
aread
has
orna.
of
been
been
0,
because
taken
taken
off,
off
the
she
has
0
s
the
orna
pad
prce.
5,
0.5.
S
o
orna
prce
×
0.5
=
0
A
25
%
N
O
W
orkn
back,
0
÷
0.5
=
0
orna
prce
was
E
O
N
L
Y
$6
he
L
O
FF
!
0
0.

•
se
ths
technue
whenever
ou
have
to
work
back
to
the
orna
ll
R

percen
tages
prce.
on
•

the
Hire
a
to
100
costs
+
3.
15

rna
prce
o
ncudn
prce
3.
×
÷
ncudn
=
1.15
115
=

1.15
prce
÷
=

or
at
15,
are
are
based
price
.
=
deposi
t
instal
men
ts
pan
1.15
ncudn
1.15
ou
origin
al
purcha
se
plus
If
I
=

orna
prce
3.20
IVI
essa

to

rot,
oss,
dscount
and
ta
are
a
cacuated
as
percentaes.
osses
and
dscounts
produce
a
na
vaue
ower
than
make
a
an
artce
prot
nfortunate
so
2
bus
and
ams
IS
she
puts
t
of
she
n
a
20.
cannot
sae
se
wth
t,
20
the
off.
orna

hen
the
prot
workn
percentae
SR

effre
hat
2
hrs
for

hs
bus
an
an
the
freezer
back
to
to
resut
nd
100,
artce
n
the
a
hher
orna
convert
for
percentae
prot,
s
taes
to
a
na
vaue.
amount,
decma
add
and
or
subtract
dvde.
pan
oss
of
to
artce
and
sen
can
of
ow
be
and
ses
t
for
hs
0
much
s
hat
makes
a
1.
0.
has
e
to
then
add
on
adds
15
on
20

.
prce
bouht
and

on
hre
month
purchase
paments
for
of
a
1.
pa
y
w
t
cost
6
b
she
prot
for
then
0
Just
a
wh
4.
Bu
y
depost
her
SIS
bus
s
hs
hat

and
15
s
the
more
than
orna
the
cash
orna
cash
prce.
$70
depo
sit
month
ly
of
no
w,
late
r!
plus
instalm
ents
only
$19!
prce


oring
with
ratios
Ratio
RI
S
•
two

ompare
uanttes
ratio
If
ratos
a
cass
12  1
•
vde
a
uantt
n
a
atos
onvert
from
one
a
wa
has
we
12
sa
set
of
can
be
two
or
more
uanttes.
bos
ths
and
as
1
‘12
to
rs,
we
sa
the
rato
of
bos
to
rs
s
1’.
smped,
ke
fractons.
vdn
both
uanttes
b

=
2  3.
another
hs
•
comparn
unts
12  1
to
of
ven
rato
•
s
usn
onvert
usn
be
tabes,
currenc
2
that
roups
of
we
can
bos
put
and
3
the
cass
roups
of
nto
roups
of

for
4
there
woud
rs.
converson
ou
make
a
pneappe
nredents
1 oz
canned
4 oz
orane
 oz
vana
4 oz
water
ce
he

can
these
4
R
means
converson
pneappe
uce
and
orane
smoothe
peope
wth
chunks
frozen
concentrate
ourt
cubes
rato
of
pneappe
chunks  orane
uce  vana
ourt
s

1  4  
or
4  1  2
onverting

o
make
conversons,
R
 km
In
a
mture
cookes,
chp
to
the
for
chocoate
rato
cooke
of
s
has
400 
of
rato
w
ow
she
much
to
nd
cooke
need
of
parts
s
20
÷
so
o
1
part
5
the
s
parts

  5
chocoate
of
the
chp
=
÷
cooke
5
×
oth
200 
parts
of
=
of
4
b
eua
to
5
mes.
s
  5
euvaent
of
20 km
n
mes,
2.5,
=
we
mutp

×
2.5  5
20 km
=
12.5
×
both
2.5
numbers
=
2
=
200 .
batter
ternatve,

the
rato
are
we
coud
mes.
the
euaton
20


5
b
usn
euvaent
x


5
sove

×
2.5
5
×
2.5
20


=
12.5
n
20  12.5
s
1000 .
200.
fractons.
2
km  mes
=
mutped
euvaent
20  x
=
=
=
of
mture,
400 
of
prncpe
batter
o
2
the
chocoate
SI
400 
app
2  5.
  5
chp.

appromate
he
o,
nea
s
we
units
chp
chocoate
batter
between
fractons.
the
  5
rato
b
2.5.
R
ne
arbadan
doars
he
o


rato
to
doar

1
s
worth
1.34
astern
arbbean
1.34.
of
nd


the
1
  
vaue

of
=
1  1.34.

200,
we
must
sove
x


=
usn
1.34
euvaent
fractons.
200
utpn
both
200
sdes
of
the
euaton
b
200
200x


=
1.34
IVI
200
14.2533134
=
x

o

o

200
divide
a
R
In
10.
he
saes

14.25
uantit

ovember

op
=
2010,
essah
in
a
2
decma
paces
neckace
and
whte
he
rato
essah
at
had
number
two
2,
sons
whe
n
the
tua
amacan
was
at
beads
number
tota
saes
he
rato
3  1
1
sae
of
essah
of
and
tua
were
the
two
sons
means
that
for
tua,
and
1
that
pe
n
the
rato
s,
of
f
put
was
ever
nto
3
4 000
o
the
he
4
÷
eua
4
saes
saes
of
SR

vde
=
eua
•
of
pes
essah
there
there
rato
are
3
pes
of
s
pes
hat
each
pe
•
were
1
×
3
×
11 500
11 500
=
=
n
the
rato

he
in
34 500.

ob
s
rato
mn
concrete
2  3

usn
to
whte
beads
to
bue
s
the
of
of
whte
beads
most
bead
n
common
the
neckace
I
ratio
s
order
a
rato
bue
in
fo rm
of
ratio
their
.
quan
tities
is
impo
rtant
.
IS
atos
the
2
beads
11 500.
SIS
45
red
simpl
est
•
were
red
the
to
hch
contans
s.
essah
tua
so
of
s
coour
atoether,
of
3  4.
beads
was
tua.
11 500
of
bue
2  3.
• ive
are
red,
3  1.
4 000.
saes
s

here
of
.
beads
he
made
ratio
he
of
s
beads.
4
avado
was
to
cement,
sand
and
rave
n
do
sze
not
of
te
the
ou
about
uanttes.
the
1  2  3.
2
ato
s
about
shares,
s
usefu
when
or
3
e
uses
ow
0 000 cm
much
of
cement
sand.
and
parts.
rave
w
he
use


ne
metre
ndrew’
s
s
appromate
heht
s
2
eua
nches.
to
hat
3
s
nches.
hs
heht
ato
performn
n
metres
converson
cacuatons.


Standard
form
and
indices
Suares,
RI
cubes
utpn
•
nd
and
roots
S
suares,
cubes,
a
number
b
tsef
s
caed
suarn
the
number.
suare
2

roots
and
cube
suared
he
•
rte
a
ratona
number
wrtten
as

and
means

×

=
4.
cube
of
a
number
s
the
resut
of
mutpn
three
of
the
same
n
number
standard
s
roots
toether.
form
3
•
nderstand
of
and
use
the
aws
ndces
4
,
or
he
4
cubed,
suare
means
root
of
a
4
×
4
×
number
s
4
=
the
4.
nverse
of
the
suare.

•
acuate
wth
numbers
n
2
he
standard
suare
root
of
25
s
wrtten
√
25
and
s
eua
to
5,
as
5
=
25.

form
2
√
25
s
aso
eatve
he
eua
to
numbers
cube
root
s
−5,
do
the
as
not
−5
have
nverse
of
=
a
25.
rea
the
suare
root.
cube.

3
√
3
512
our
R
he

popuaton
of
=
s
as

cacuator
=
512.
has
suare,
cube,
suare
root
and
cube
root
kes.

the
omncan
Inde
epubc
,
notation
10 00 000.
n
a
ecause
10 00 000
=
1.0
means
a
s
mutped
b
tsef
n
tmes.
×
5
4
10
×
10
×
10
×
10,
10
×
10
×
10
=
4
×
4
×
4
×
4
×
4
×
n
we
wrte
10 00 000
he
form
a
s
caed
nde
notaton.
a
s
the
base
and
of
the
same
×
4
n
s
the
nde,

as

of
1.0
×
10
ran
of
sand
power
has
a
he
=

÷
10
=

÷
10
eponent.
dameter
0.00 cm.
0.00
or
×
10
=

×
10
3
laws
here
are
of
rues
power
paces
the
return
to
of
10
dts
ther
for
combnn
powers
number.
3
×
10
5
he
indices
tes
have
how
to
orna
3
4

4
×
=
4
or
enera
×
man
move
4
×
a
4
×
4
b
y
×
y

×
×
4
×
4
×
4
=
4
,
a+b
=
y
to

postons

÷

×
×
×

×


2

4
=
=
,
×
5
3.2
×
10
a
or
=
320 000
enera
3
5
ts
move
5
paces
4

÷
3
=
b
y
=
3
5
×
=
y
5
a
y
3
×
5
b
y
3
×
5
12
=
5
,
a
or
enera
y

b
ab
=
y
eft
4
y
4
÷
y
×
y
3
y
0
4
.
3
ut
y
4
÷
0
=
y

y
=
1,
so
3
=
1,
so
y
=

3
y
and
y
are
recprocas.
3
4.
×
10
1

3
hs
=
means
that
y
=
ts
move


a
,
or
y
=
3
0.004
a
y
3
paces
y
rht
Standard
hen
form
numbers
standard
form.
et
ver
ost
are
or
cacuators
ver
do
sma,
ths.
we
often
tandard
n

6
×
10
,
where
1
⩽
A
<
10
and
n
s
an
nteer.
wrte
form
s
them
wrtten
n
as
alculating

o
add
or
chane
in
standard
subtract
them
R
out
form
numbers
of
n
standard

standard
form
form,
the
safest
wa
s
to
rst.
2

5
3.4
×
10
I
4

+
.
×
10

=
340 000
=
40 000
+
 000
hen
calcu
latin
g
stan
dard
form

in
ma
e
5
=
3
4
×
10
4.0
×
10
sure

−
.2
×
10

=
0.004
−
=
0.0030
=
3.0
the
answ
er
stan
dard
4
0.0002
part
is
is
form

be tween
still
i.e.
1
the
and
in
rst
.
3

o
mutp
or
dvde,
the
decma
×
parts
10
and
the
powers
of
10
can
be
R
deat
wth


separate.

3.4
×
10
3

×
3
×
10
IVI


=
3.4
×
3
×
3
10
×
10



uba
has
a
popuaton
of
1.1
×
10
5
,
and
an
area
of
1.1
×
10
=
2
10.2
×
10
,
or,
n
standard
km
form,
5
arbados
has
a
popuaton
of
2.
×
10
,
and
an
area
of
10
2
4.3
×
10
•
In
•
ow
=
2
1.02
×
terms
of
area,
man
how
tmes
the
man
tmes
ber
popuaton
of
than
arbados
arbados
s
the
s
uba
popuaton
R
of
10
km

4
uba
2
•
opuaton
denst
s
the
number
of
peope
for
each
km
.
4
5
nd
the
popuaton
denst
of
uba
and
of
×
2
10

÷
=
5
÷
=
2.5
2
×
10

arbados.
4
2
×
10
2
÷
10


SR
IS
rte
a
0.0005
n
standard
form

aws
5
b
1.4
×
10
as
an
ordnar
of
ndces
a
number.
•
y
b
×

he
un
s
appromate
1.5
×
10
kometres
from
•
arth.
y
he
speed
ow
on
of
ht
does
t
s
about
take
for
3
×
ht
10
to
kometres
et
from
the
per
•
second.
un
to
÷
y
y
y
a−b
=
b
y
ab

=
y
0
arth
•
y
=
1
1

−n

=
b
a
5
a+b
y
a
2
10
SIS


×
•
mpf
y
=
n
y

a
4
3
×
4
2
b
3
5
÷
3
1


c

×
2
tandard
form
s
wrtten
as
5

n
A
×
and
10
n
s
,
where
an
1
⩽
A
<
10
nteer.


rdering,
patterns
and
seuences
rdering
RI

o
a
•
rder
•
enerate
a
seuence
ven
set
of
rea
term
of
a
order
erve
a
rue
a
R
a

ven
the
as
parces
put
s
t
them
weh
n
and
R

t
4
1
.


1
.

4
the
order
3
,
and
,
s
,
=

,
the
=
3
s
5
weht
,


=

fractons
for
can
has
smaest
as
the
more
2.4,
have
the
same
number
of
unts
hundredths.
1.,
1.45
be
a
put
n
order
common
b
chann
them
to
euvaent
denomnator.
integers
=
10
,
40

o
order
nteers,
ncrease
n

o
4,
sze
draw
from
or
eft
mane
to
a
number
ne.
he
numbers
rht.
smaest
3

,
order
−3,
1
and
−5
4
10
4
3
2
1
0
1
3,
2
3
4
1,
5
4
is
the
correct
order.
I
order
abou
t
to
1.45
1.

5,
co lder
unts.
fractions
wth
5

5
2


,
40
order

,
th
than
but
arest
ractons
25



,
5

o
of
40.
5
40
correct

rst
1.45 k

10
s

4
40
so
and
2
denomnator
30
most
arer
rdering

5
1. k


10
3
24

vaues.


4
common

5

5
4,
pace
arest,
the
rdering
3

h
.
tenths,
rom
3
ann

2.4 k,
order
2
has
1.
5,
vertca,
seuence
2.4

them
terms


o
wrte
rue

o
of
decmas,
numbers
hree
•
decimals
S
enerating
integ
ers
tempe
rature
it
is
the
a
term
of
a
seuence
given
a
rule
thin
ere
s
a
seuence
of
suares
made
from
ne
sements
the
lower
the
tempe
rature.
so
 °
is
co lder

is
lower
than
than
 °
he
number
e
coud
addn
o
the
hs

of
ne
sements
n
each
pattern
s
4,
,
10,
13.
.
descrbe
ths
seuence
as
start
wth
4
and
then
keep
3.
net
tabe
term
shows
n
the
the
seuence
number
umber
of
suares,
umber
of
line
of
suares
s
segments,
woud
l
be
and
1.
the
number
of
1
2
3
4
4

10
13
ne
sements.
he
rue
s
4,
connectn
s
and
l
s
l
=
3s
+
1.
or
eampe,
when
IVI
=
l
=
3
×
4
+
1
=
13.
nd
o
for
10
suares
s
=
10
we
woud
need
3
×
10
+
1
=
31
the
net
number
n
ths
ne
pattern
sements.
1,
2,
5,
14,
41,
122,
…
th
eriving
hs
a
rule
pattern
s
given
made
of
the
terms
re
and
in
a
whte
seuence
the
n
term
crces.
IVI
chae
ne
sowed
da
outsde.
he
number
of
whte
crces
s
ven
n
the
number,
umber
of
n
white
circles,
w
1
2
3
w
nd
s
the
rue
ncreasn
between
the
attern
connectn
b
2.
rows
and
ecause
of
number,
n
the
of

10
12
w:
the
n
the
same
a
pot.
bean
da
das
the
pot
ater
was
bean
the
ust
outsde
n
a
he
bean
1 cm
was
pot.
pant
ta.
n
he
aread
3 cm
ta.
ths,
nsert
the
2
tmes
tabe
ach
n
tabe
n
panted
another

en
pant

o
bean
tabe
sowed
attern
he
n
a
1
2
3
2
4


10
12
evenn
hs
two
n
the
the
chae
measured
pants.
evenn
tte
bean
of
the
pant
net
had
da
rown
×2
2×
table
another
2 cm
so
t
was
3 cm
+
ta.
umber
of
white
circles,
w
ach
row
rown
If
we
tabe,
doube
we
n,
et
we
et
the
2
tmes
tabe.
If
we
add

to
the
2
the
the
rue
s
he
w
w
=
2n
+
sa
the
nth
term
of
5 cm
the
seuence
,
10,
12,
…
s
2n
+
.
two
how
×
can
10
use


+
the

=
rue
2
to
work
whte
a
common
2
se

an
out
that
the
10th
pattern
woud
pant
a
rew
at
a
da.
the
das
same
measured
were
the
heht
them
n
when
the
have
denomnator
to
ow
ta
were
the
order
SR
a
number
ne
to
order
nteers.

ut
a
eometrca
patterns
can
be
4.2,
numbers.
b
c
for
members
a
seuence
of
a
set
t
can
nto
be
a
found
pattern.
when
work
for
a
he
5
rue
as
=
for
an
a
+
seuence
b,
of
sze
4.1
,
,

−4,

12
,
1
−2,
−5,

rue
rte
down
the
rst
ve
terms
the
nth
term
n
the
numbers.
can
be
where
n
s
the
where
s
2n
−
1.
wrtten

y
3.,
order


seuence
he
n
a
2
must
4.0,
2

,
3
rue
numbers
descrbed
1
usn
SIS
these


had
IS
se

to
t
crces.
fractons.
4
amount
before.
man
pants
evenn
2
contnued

chae
e
da
outsde
fter
e
t
the
tmes
stead
o
da
doube
poston
nd
the
rue
for
the
nth
term
n
these
n
seuences
the
seuence,
consecutve
found
term
b
n
a
s
terms
sovn
the
the
n
an
ncrease
the
euaton
seuence.
between
seuence.
usn
b
a
can
a
3,
,
11,
15,
1,
…
b
,
,
11,
13,
15,
…
c
1,
be
ven
15,
12,
,
,
…


roperties
and
of
numbers
operations
Identities
RI
S
Identities
•
se
propertes
of
numbers
have
operatons
n
are
numbers
whch
and
no
effect
when
a
partcuar
computatona
operaton
s
used.
tasks
•
nderstand
denttes
or
mutpcaton
the
dentt
and
dvson,
and
s
1
nverses
•
now
and
app
operatons
•
to
nderstand
dstrbutve
the
order

of
×
1
=


÷
1
=

cacuatons
the
and
commutatve,
assocatve
or
addton
the
dentt
and
s
subtracton,
0
rues
5
+
0
=
5

−
0
=

Inverses
Inverses
•
ddton
so
•
have

−
an
and
5
=
subtracton
he
the
20
÷
5
=
additive
dentt
he
he
effect.
are
inverse
operations
4
+
5
=
,
4.
utpcaton
so
undon
and
dvson
are
nverse
operatons
4
×
5
=
adds
to
t
to
20,
4.
inverse
of
a
number
s
one
whch
eua
0.
addtve
addtve
nverse
nverse
s
of
4
found
s
b
−4
,
because
chann
the
4
+
−4
number
=
to
0.
ts
opposte
sn.
he
b
multiplicative
to
eua
the
inverse
dentt
of
a
number
s
one
whch
1
he
mutpcatve
nverse
of
4
s
mutpcatve
mproper
R


he
fracton
mutpcatve
nverse
and
s
mutped
1
,
because
4
×
4
he
t
1.
s
found
then
nverse
b
wrtn
nvertn
s
aso
=
1.
4
the
number
as
an
t.
caed
the
reciprocal
2
rackets

×
3
+
4
−
2
÷
3
he
order
of
operations
Indces
he
cacuaton
and
then
3
4
of
2
+
3
×
4
ves
an
answer
of
20
f
ou
add
2
+
3
2
=
vdn
=

×
and


−
2
÷
3
×
and

−
2
÷
×
and
then
avod
add
confuson,
42
−
4,
or
an
answer
of
14
f
ou
mutp
the
answer
to
2.
we
multipl
or
divide
before
we
add
or

o
chane
ths
order,
use
bracets
3
are
four
staes
to
the
order
of
operatons,
whch
are
3
sometmes
2
b
Subtractn
here
=
answer

subtract.
=
the
utpn

o
ddn
mutp
remembered
as
IS
see
orked
ampe
1.
he
associative,
•
operaton,
n
a

b

c
=
R
ddton
associative
b

and
and
distributive
•
f
n
a
c.
2
laws
operaton,

b
=
b

R
mutpcaton
are
assocatve
ddton
,
s
commutative

and

mutpcaton
+
3
+
2
=
4
+
3
+
2
=

4
+
3
=
3
+
4
=

4
×
3
×
2
=
4
×
3
×
2
=
24
4
×
3
=
3
×
4
=
12
−
12
and
3
÷
−
4
operaton,
dvson
2
÷
,
=
2
1
=
s
are

−
1.5
not
3
12
−
÷
distributive
assocatve
2
4
=
÷
over
ubtracton
5
2
=

f
a
4

n
s


ubtracton
•
,
a
commutative
and
dvson
are
are
commutatve
not

−
3
=
3
3
−

=
−3
4
÷
2
=
2
2
÷
4
=
0.5
commutatve
another
IVI
operaton,
△,
f
a

b
△
c
=
a

b
△
a

c.
pan
R

34
utpcaton
s
whch
aws
are
ben
used
n
each
ne
here
4
dstrbutve
over
addton
and
×
2
=
34
×
20
+

=
34
×
20
+
34
=
20
×
34
+

×
34
=
20
×
30
+
4
+

=
20
×
30
+
20
subtracton
4
×
5
+
2
=
4
×
5
+
4
×
2
=
2

×
5
−
3
=

×
5
−

×
3
=
12
=
ses
of
these
these
cacuatons
×
4
30
+
0

+
+
×
4
30
10
can
be
made
easer
b
+


13
+
4
24
4
×
1
=

×
13
=

×
30
=
240
+
1
IS

he
addtve
dentt
2
he
addtve
nverse

he
mutpcatve
4
he
assocatve

he
commutatve
6
he
dstrbutve
=
of
0,
a
the
s
mutpcatve
dentt
a
and
assocatve
rues
nverse
recproca
×
4
=
15
×
=
0
=
540
SR
×
4
×
b
s
acuate
2
rte
aw
a
*
b
aw
a
*
*
c
=
a
*
b
the
*
c

aw
a

b
b
=
△
b
c
*
=
a
a

b
△
a

c
SIS
12
−
2
×
3
+

÷
I
2
•
Don’
t
•
hen
fo rge
t
D
S.
down
you
3
a
a



1.
__
of
b

=
–a
__
ommutatve
mutpcatve
nverse
and
b
the
addtve
nverse
acuate
a
5
×
b
2
1
×
×
1
a
calcu
lato r

provid
e
4
−
use
pro pe
rties
menta
2
×
cann
ot
of
5

×
usn

rue
×

ncude
strbutve
15
+
rues.
ampes
×
+
×

rules
=
enta
00
×
a
and
these
laws
can
shortc
ut.

2

ases
ur
RI
number
storca,
•
tate
the
vaue
of
a
dt
n
ven
ts
ove
probems
n
s
unts
make
number
housand
a
and

en,
so
we
coud
wrte
housands

on
the
have
ners

so
the
count
n
panet
on
each
ehts.
or
our
2
s
wh
our
a
undred,
ten
undreds
make
vaues
as
powers
of

ens
10
nits
1
0
10
10
the
2
of
pace
the
a
of
n
other
nches
usn
the
3
bases.
work
digit
vaue
vaue

work
and
value
the
n
in
n
a
omputers
base
numeral
nde
2312
work
n
12.
given
its
base
notaton.
base
4

4
3
to
eet
4
1
2
2


3
s
worth
3
×
4
=
3
×
1
=
4.


fours
need
are
he
hundred
we
4
2
vaues
pace
undreds
bnar
.
eampe,

t
make
10
down
4
ve
hs
bases
nd
or


ens
2
ometmes
rte

ners.
hand,

o
pace
our
moosh
base2,
her
ten
3
ther
four
on
10.
on.
10
reatures
counted
on
theor
o
R
awas
based
nvovn
a
concepts
have
sstem
base

en
•
we
a
number
numera
sstem
S

hts
nts

o
nd
he
vaue
the
of
value
2312
of
base
a
4
numeral
given
its
base
s
and
3
2
×
4
=
2
2
+
3
×
1
4
+
1
×
4
0
+
2
×
4
×
4
+
2
tweves

mooshan
123ears
od
wrote,
‘I
s
not
one
twentthree.
hundred
+
2
+
3
×
e
1
×
=
ehtthree.
change
+
1
×
1
=
12
×
a
base

number
to
a
different
base
s

+
3
×

2
1
paceaptan
 ams’
wants
ths
t
n
e
to
base
wrte
space
down
for
shp
the
traves
at
1010 kmh.
mooshans,
but
he
knows
the
pace
vaues

n
base

are
2


ve
hundred
and
tweves
e
starts
e
subtracts
wth

tfours
hts
1010
512
4
1
×
512
e
must
.

22
1
and
R
4
4
toda’.

o
e
×
am


nts
wrte
IVI
e
subtracts
44
e
subtracts
4
because
44
because
4
s

×
4
50

s

×
a
hch
o
eaves
1010
=
1
2
×
pacedmra
1
512
or
+
ones

×
2
×
4
ew
ear
racker
bursts
nto

star
wth
4
arms.
1.
+

×
dd
t
b
remander

stfours

dvdn
+
b
2

×
1,
or
12
base

repeated
ach
arm
then
bursts
nto
4


)
15
remander

ehts
remander
2
unts
fresh
arms.


)
12


)
1010
e
ot
the
do
ou
thnk
same
s
resut
of
12
an
ou
see
t
hch
method
easer
ach
4,
dding
and
subtracting
in
other
of
and
that
and
the
pace
subtractn
base
to
the
R
45
ndcates
work
how
3

man
n
n
one
nto
an
base.
pace
ust
eua
remember
one
n
the
at
down
each
of
the
the
number
rst
ve
of
arms
staes.
net
base


base
base
1
5
+

=
eeven,
whch

1
eht
1
and
s
3
unts,
wrtten
45
base

3
base

s
tep
+
he
3
same
bursts
eft.
tep
+
the
then
on.
bases
rte
ddn
these
so
13.
2
whch
carred.
103

base
4
s
+
1
3
+
eht
carred
and
0
1
=
unts,
eht,
wrtten
10.

1
1
R

4

1101
base
2
111
base
2
tep
1
done
−
1
1
=
wthout
0.
hen
neatve
0
–
1
cannot
numbers
so
be
pr
ess
from
the
1
whch
s
worth
2
n
the
0
net
0
place
the
coumn.
no ta
tion
valu
es
to
in
calcu
latio
ns
ma
e
easier
.
2
101
base
2
tep
2
2
wthout
−
the
we
inde

borrow
I
111
base
–
1
=
1.
neatve
hen
0
–
numbers
1
cannot
so
we
be
done
borrow
from
the
2
1
whch
s
worth
2
n
the
net
coumn.
10
0
2
2
tep
−
111
base
3
2
1
=
1.
hen
0
–
0
=
SR
0.
SIS
2

hat
s
the
vaue
of
the
dt
3
110
n

3210
2
rte

nd
base
321
the
4
base
base
10
10
n
base
vaue
.
of
IS
1011

he
pace
2
ace
vaue
vaues
mutpn
on
of
the
the
eft
or
eft
1st
or
dt
rht
dvdn
on
of
rht
a
the
rht
dt
the
are
pace
s
awas
found
vaue
1.
4
base
2.
acuate
a
101
+
11
base
b
210
−
123
2
b
b
the
base.
base
4
2
2
Interest,
and
Simple
RI
nderstandn
and
interest
nterest
and
ou
nvest
mone
n
a
bank,
the
usua
pa
ou
interest
cacuatn
that
smpe
depreciation
S
hen
•
appreciation
s,
the
ve
ou
some
etra
mone.
he
pa
ou
a
percentae
compound
of
what
ou
nvest.
hs
percentae
s
caed
the
rate
of
nterest.
nterest
•
pprecaton
and
he
amount
ou
he
amount
of
nvest
s
caed
the
principal
deprecaton
nterest
that
ou
receve,
I,
s
ven
b
the
formua
PRT

I
=
,
where
P
s
the
prncpa,
R
s
the
rate
of
nterest
per
ear,
100
R


and
If
ou
and
nvest
receve
2000
10
for
3
T
s
the
tme
nterest,
use
the
rate
P
=
the
of
2000,
formua
to
=
10
ost
and
that
ou
nvest
the
mone.
interest
cacuate
nterest.
I
ears
ou
ompound
can
n
ears
T
PRT
=
3
banks
nterest
on
nterest
s
pa
compound
oans,
added
ncudn
to
the
interest.
credt
prncpa
ou
cards.
at
the
aso
 th
end
pa
compound
compound
of
the
nterest,
the
ear.

I
=
100
R
2000
×
R
×

2
3

10
=
10
=
100
If
ou
rst
ou
R
=
borrow
2000
at
3
per
annum
per
ear,
at
the
end
of
ear
ou
now
owe
owe
a
nterest
tota
of
of
3
of
2000
=
0.03
×
2000
=
0.
200.
3
In
the
second
=
1.0,
In
the

uck
addn
a
we
add
decma,
o
to
of
then
ou
have
are
to
an
a
etra
debt
or
was
3
of
of
200
=
0.03
×
200
2121.0.
3
of
nterest
compound
that

an
chared
215.45,
cacuate
3
owe
2121.0
of
3.5,
15.45.
nterest
ntroduced
=
n
s
to
use
the
method
1..

amount,
we
have
a
tota
of
103
or,
as
a
1.03.
2000
nterest
hree
ear,
ou
percentae
R
If
ou
tota
wa
a
ear
,
so
thrd
vn
s
×
1.03
woud
ve
the
tota
after
the
rst
ear’
s
added.
ears’
compound
nterest
coud
be
cacuated
as
3
2000
×
1.03
×
1.03
×
1.03
=
2000
×
1.03
T
R


enera
formua
s
na
amount,
F,
=
P
×
(
1
+
)
100
P
24
the
0R
=
prncpa,
R
=
rate
of
nterest
and
T
=
tme
n
ears.
,
where
of
ppreciation
hen
an
tem
vaue
s
caed
tems
that
and
ans
n
vaue,
we
appreciation.
sa
t
appreciates.
eweer
and
antues
he
are
ncrease
n
eampes
of
apprecate.
an
tems
caed
depreciation
become
R

depreciation
worth

neckace
cost
apprecates
b
ess
ever
ear
–
for
eampe,
a
4
200
car.
hs
s
R
n
200.
ver
ear
t

5.
car

costs
deprecates
10 000
b

n
12
the
ever
ear
2010.
It
ear.
4

2010
1.05
t
was
worth
represents
power
of
4
s
a
for
200
5
4
×
1.05
ncrease
5
=
243.10
105,
and
Its
the
vaue
0.
ears.
and
n
2015
represents
the
power
w
a
of
be
10 000
12
5
s
×
decrease
for
5
0.
=52.
100
−
12,
ears.
IVI

arsha
bus
two
rns.
he
cost
I
400
• 
ou
mus
t
learn
each.
fo rm
ulae
he
od
one
apprecates
b
4
a
fo r
sver
hch
one
w
doubn
deprecates
happen
ts
vaue
rst
or
b
the
the
4
a
od
sver
inter
ear.
•
Do
•
n
no t
confus
e
rn
the
the
fo rm
ulae
two.
time
havn
measu
red
in
vaue
em
embe
r
mon
ths
no t

and
est.
rn
is
ts
simpl
e
ear,
compo
und
the
the
is
that
.
year
s.

year
s
.
IS
PRT


mpe
nterest
I
=
,
and
100
T
R

2
ompound
nterest
F
=
P
×
(
1
+
)
,
where
I
=
nterest,
100
P
=
prncpa,
T
=
tme
•
n
SR
I
can
nvest
ar’
s
I
nvest
earn
of
nterest,
F
=
na
amount
and
and
deprecaton
work
n
the
same
wa
as
nterest.
2000
beautfu
b
350
100
for
nterest.
apprecates

rate
SIS
compound
2
=
ears.
pprecaton
compound

R
ears
antue

at
5
hch
ever
4
s
vase
ear,
smpe
at
3.2
better
cost
her
how
nterest.
smpe
and
b
4000
much
ow
s
nterest
how
t
n
200.
worth
on
or
3
much
w
t
n
If
t
2012
take
to
nterest
2

easures
he
RI
S
•
nvovn

robems
and
mone,
echane
•
he
12
measures
sstem
n
the
metrc
sstem
use
the
same
sstem.
measures
ength
ncudn
the
rate
and
metric
24hour
cock
s
based
on
the
metre,
capacit
ommon
and
the
parts
are
thousandths
common
1000 mm
100 cm
=
=
10 mm
=
1000 m
used
1 m
s
1000 m
1 m
100 cℓ
1 cm
=
m,
mutpe
10 mℓ
1 km
=
1000 ℓ
he
he
the
imperial
nches
feet
10
=
and
k
he
=
1
=
100 c
10 m
1 kℓ
=
1
1
20 cwt
sstem
1
=
etric
foot
1
2.5 cm
30 cm
me
1 m
sstem
oz
1

pnts
=
1
1
pound
b
≈
≈
≈
1
1
1
≈
30 
1 
1 c
=
1 k
imperial
nch
foot
ard
5
mes
and
1
cwt
 k
imperial
sstem
1 oz
≈
≈
50 k
1 b
1
≈
tonne
etric
stone
1 cwt
≈
1
and
ton
imperial
comparisons
´.
oz
=
1
pnt
30 mℓ
aon
0.5 ℓ
4
roblems
onvertn
≈
0.5 k
ton
ounces
=
and
etric
hundredweht
imperial
´ud
1 
sstem
capacit
1
=
=
1000 
1
he
=
tonne
stone
=
=
c,
comparisons
ounces
=
cent,
1000 m
1 ℓ
ard
ards
stone
of
on
comparisons
imperial
14 b

mass
o
1 cℓ
mass
1
and
hundredths
1000.
 km
of
litre
1 ℓ
length
12
3
imperial
m
ko,
=
=
1000 k
of
on
gram
involving
between
conversion
dfferent
unts
≈
≈
tres
1 ´.
1
≈
pnt
1
between
nvoves
oz
aon
units
ratos.
IVI
or
n
a
partcuar
rate
for
astern
was
0.3,
da
,
the
arbbean1
and
eampe,
R
ths
man

nd
the
appromate
metrc
nformaton,


rato
of
k  stone
s
appromate
how
o
was
€1
worth
12.5
26
euvaent
€0.2.
he
sn
to
echane
stone
≈

×
12.5
=
5 k
  1
of
12.5
stone
ime
here
are
24hour
•
In
the
two
12hour
foowed
b
mdnht
•
In
the
rst
was
of
wrtn
the
tme
the
12hour
sstem
and
the
cock.
are
tmes
e..
dts
cock,
between
45
foowed
24hour
two
cock,
a.m.
b
a.m.,
mdnht
tmes
and
mdda
between
are
mdda
and
p.m.
tmes
ndcatn
and
are
the
wrtten
hours
as
and
4dt
the
ast
numbers,
two
wth
ndcatn
the
the
mnutes.
◦
dnht
◦
fter
so
o
or

100
230
n
1430
045
hen
0
wrtten
p.m.
the
to

n
workn
n
R
as
wrtten
s
and
does
as
mdda
not
reset
as
to
1200.
0,
but
contnues,
1300.
wrtten
as
230
p.m.
12hour
cock
cock.
the
mornn
s
45
a.m.
12hour
cock
cock.
wth
an
0000
hour
afternoon
24hour
mnutes
the
s
24hour
uarter
or
s
mdda,
tme,
remember
t
s
not
metrc.
here
are
hour.

2


o
nd
starts
the
at
enth
052
of
and
a
bus
ends
at
ourne
that
• rea
t
1025
1
2
11
052
to
1000
s

rom
1000
to
1025
s
25
curren
cy
measu
re
1
10
rom
I
conv
and
ersion
s
as
2
ratio
s.
mnutes.
9
3
•
em
embe
r
time
is
mnutes.
8
no t
4
me tri
c.
7
 h

5
minut
es
6

ota
tme
=

+
25
=
33
mnutes.
=

.

.
hour
• ear
n
me tri
c

1

=
,
a.m.
=

the
ey
and
impe
rial
1
=
,
ko
=
1000.
100
mornn,
SR
no t

cent
1000
2
s
s.
equiva
lents
.
IS


hour
p.m.
=
afternoon.
SIS
rte
a
420 m
n
km
2
ppromate

a
rte
b
ow
i
how
1055
man
b
33 cℓ
man
a.m.
mnutes
mes
and
s
t
n
ii
mℓ
s
2.4 k
euvaent
113
from
c
p.m.
1055
n
to
the
a.m.
to
n

20 km
24hour
113
cock.
p.m.
2
4
arning
and
spending
mone
Salaries
RI
ome
•
ove
and
wages
S
probems
peope
are
pad
a
weel
wage
others
are
pad
an
annual
nvovn
salar
saares
and
waes
ages
•
ove
and
probems
uttes
nvovn
taes
eope
on
number
n
a
etra
hher
or
a
of
week
hours
hours
a
wae
week
worked
usua
the
are
have
have
caed
an
to
hourl
work,
the
overtime,
rate
basic
and
are
of
pa,
and
usua
pad
at
rate.
eampe
R
essa
pad
ast
er
at

earns
tme
week
tme
vertme
a
a
−

week
hour
for
a
basc
35hour
week.
vertme
s
haf.
s
35
a

=

means
hours
wae
tota
of
cacuated
hours
haf
=

worked
35
41
and
per
wae
week
vertme

ota
and
she
week
asc


=

as
per
foows
ate
ettn
13.50
+
hours.
hour
hours.
315
41
=
pad
=
=
315.

1.5
×
1.5
tmes
=
the
13.50
usua
rate.
1.
1
=
3.
Salaries
eope
work.
12
who
he
and
that
eope
on
bonus
at
saar
e
s
the
ear
end
s
et
of
pad
the
a
ed
month,
cannot
ever
earn
amount
so
the
of
mone
annua
saar
for
s
a
ear’
s
dvded
overtme,
but
the
sometmes
et
ear.
2
manan
an
the
annua
drector
saar
s
bonus
1
s
for
bonus
compan
month
the
s
of
of
made
5 000
of
a
a
compan.
1
 400.
of
prot
÷
1 240 000
ear
b
month.
e
has
an
annua
5 000.
s
earnns
2
pad

the
of
saar
s
amount
receves
ast
a
saares
R
eter
earn
mone
12
=
the
of
=
compan’
s
prots.
1 240 000.
250.
12 400,
makn
a
wee
hs
tota
a

aes
IVI
eope
pa
taes
so
that
the
overnment
can
pa
for
servces
such
as
•
the
poce
he
taes
Income
In
and
var
ta
amaca,
over

up

to
n
s

the
ta
In
a
ne
pa


on
mone
ncome
5200,
arbados,
24 200
amount
of
ou
ta
at
25
whereas
ncome
12 100,
ta
s
and
earn.
amaca
on

on
there
s
chared
35
on
annua
no
at
20
ncome
•
earnns
ncome
ta
on
a
n
the
of
arbados
ncome

above
•
dded
In

a
or
onsumption

a
s
ta
ou
pa
on
no


obao,
enera

up
n
to
aes,
show
ncome
on
ta
earnns
the
pad
up
n
to
whch
saar
of
ta
n

pad
the
s
the
same
most
amaca
and
arbados
bu.
rndad
caed
the
pad
30 000.
n
n
ou
show
ta
earnns
same
amount
amount
tems
to
30 000.
n
the
424 200.
Value
raph
ncome
arbbean.
pad
peope
441 1
ahamas.
raw
hosptas.
n
aue
dded
consumpton
the
rn
ta

a
and
s

s
chared
15,
at
n
amaca
1.5,
but
t
s
there
s
Isands.
IVI
here
are
man
other
taes,
whch
var
from
sand
to
sand.
au
and
choose
hrstopher
between
can
two
dfferent
tilities
eectrct
an
uttes
ed
charge
for
eampe,
eectrct,
water
and
teephone
make
a
he
pus
a
cost
per
can
per
eampe,
per
uarter
a
teephone
compan
mht
have
a
ed
chare
of
months
pus
a
cost
of
0.0
per
mnute
of
ca
has
person
makn
342
mnutes
of
cas
n
a
uarter
woud
342
×
0.0
=
ncreased
b
aares
and
and
waes
are
reduced
b
deductons
for
aes
uses
540
hch
are
dependent
on
the
hours
worked,
the
hour
et
up
to
works
at
tme
works
pas
ow
ow
a
35hour
and
a
do
unt
unts
of
eectrct
hrstopher
tarff
shoud
hch
an
au
tarff
shoud
choose
euaton
the
and
number
sove
of
the
40
hours
ncome
much
much
makes
the
same
b
unts
under
week
at
.50
per
hour,
wth
overtme
I
haf.
ever
week.
a
e
ta
at
the
rate
of
20.
does
does
she
she
earn
earn
a
a
ear
ear
before
after
ta
•
Do
sure
ta
rados
cost
that
ncudn
se
at
45
pus
15

.
ow
you
ta
ma
e
all
dedu
ction
s
salarie
s.
no t
e.g.
in
he
per
tarff.
from

0.40
and
necess
ary
2
20
SIS
•


of
unts.
ves

he
tarff
overtme.
SR
he
420
nd
each
pad
or
chare
rate,
that
son
40
unt
used.
hrstopher
t
and
ed
pus
uarter,
choose
nsurance
ta.
•

of
per
bonuses.
•
2
used,
a
uarter
per
are
chare
0.3
.3.
IS
aares
has
eectrct
uses


pa
au

ed
pus
eectrct
of
+
tarff
tme.
per
40
a
uarter
whch

choose
40
of
3
ether
unit
whch
or
tarffs.
mi
units
do lla
rs
and
cents
calcu
lations
.
much

2

Sets

RI
•
se
the
set
concepts
descrbe
or
•
se
nterpret
st
•
epresent
of
sets
a
coecton
of
obects,
usua
havn
a
or
somethn
n
common.
ampes
mht
vowes
the
a
be
the
bos
n
cass,
the
factors
of
12,
or
the
to
n
aphabet.
members
he
and
s
S
set
n
set
members
of
a
set
are
caed
the
elements
of
the
etter,
the
set.
notaton
varous
Set
notation
forms

•
econse
and
nterpret
set
s
usua
denoted
b
a
capta
and
membershp
s
enn
ether
descrbed
or
the
eements
are
sted.
he
descrpton
or
stn
s
darams
wrtten
•
pp
the
prncpes
membershp
cardnat
,
unversa,
of
a
nte,
eua,
nsde
cur
brackets.
of
o
set,
A
nnte,
euvaent
we
=
mht
2,
4,
wrte
,
,
A
=
even
numbers
ess
than
12,
or
10.
sets
he
∉
smbo
means
Venn

means
not
an
‘is
an
eement
element
of’.
e
of’.
e
coud
sa
coud
that
wrte
5
∉
4
∈
A
A
diagrams
Venn
daram
wrtten
‘s
∈
diagram
conssts
as
ℰ,
s
of
the
a
a
set
darammatc
rectane
to
contann
representaton
represent
a
eements
the
of
sets.
universal
that
are

enn
set,
reevant
to
the
topc.
ther
he
of
sets
enn
are
shown
daram
as
crces.
beow
s
an
eampe
to
demonstrate
the
prncpes
sets.
ℰ
=
natura
A
=
factors
numbers
of
12,
B
ess
=
than
or
prme
eua
to
numbers
14,
and
C
=
mutpes
of
.
ℰ
8
9
10
14
A
B
1
5
4
C
2
7
6
12
3
11
13
ver
C
⊂
A,

eement
A.
oth
factors
of
n
of
set
the
12.
C
s
aso
eements
n
of
set
C,
A.
e
sa
mutpes
C
of
s
,
a
subset
are
aso
of
A,
or
eements
of
he
vocabular
of
sets

et
A
n(A)
has
=

eements.
sets
as
the
ths
ual
or
n
to
s
cardinalit
of
set
A
s

and
wrte
s
are
sets
the
=
set,
a
to
or
the
and
the
we
same
or
has
set
st
contan
etters
h,
s,
sa
that
number
A
of
and
B
are
eements.
euivalent
e
null
n
the
e
a
of
use
s
an
one
that
the
ever
the
word
the
same
D
=
se ts.
‘these’
=
the
etters
n
the
or
that
are
contans
mutpes
smbo
∅
to
no
of
eements.
4
or
represent
A
=
etters
n
B
=
etters
n
a
nu
set.
‘I’
C
=
etters
n
‘I’
D
=
etters
n
‘’

=
etters
n
‘I’
he
set.
countabe
nnte
number
number
members
of
an
of
of
eements.
eements.
nnte
set
It
snce
s
mpossbe
there
s
•
hch
two
=
p,
a,
r,
sets
•
hch
other
are
eua
no
set
s
euvaent
natura
numbers
=
1,
2,
3,
4,
5,
,
etters
n
the
word
‘paraeoram’
them
…
hch
set
,
e,
o,
,
m,
or
D
=
a,
e,
,
,
m,
s
a
subset
of
s
another
D
‘’
neatve
membershp.
eampe
set
learn
eements.
•
he
to
of
IVI
set,
nte
has
a
eact
to
or
impo
rtant
vocabu
lary
can
t.
numbers
subset
innite
count
,
that
e,
odd
set
aso
is
the
I
B
numbers.
set
end
B
contan
≡
‘sheet’
nite
n
A
eampe
nu
•
as
sets
suare

both
empt
or
•
of
eampe,
word
•
the
• t
cardnat
•
sa
6
he
wrte
e
o,
p,
r,
as
order
set
s
•
hch
two
sets
have
no
unmportant.
common
ets
do

not
contan
same
he
members
2
he
number

ets
4
he
can
be
the
of
unversa
ua
sets
same
of
a
set
are
eements
nte
consdered,
more
than
once.
or
set,
the
ℰ,
the
=
natura
numbers
=
1,
,
1,
25
12,
15,
4,
B
=
3,
,
,
C
=
4,
,
12,
D
=
5,
10,
2
hch

hat
=
set
s
the
cardnat.
or
a
nu
same
the
set,
∅
eements
contans
eements
ben
no
eements.
euvaent
sets
have
SIS
A
escrbe
a
contans
ℰ

n
eements.
nnte.
empt
contan
caed
cardnat.
SR
F
eement
IS


the
eements
15,
sets
two
can
1,
A,
sets
ou
mutpes
B,
of
reater
21,
than
25
24
24
25
C
are
sa
1,
20,
20,
no
and
D
n
words.
euvaent
about

=
even
numbers
and
2

6
ombining
ombinations
RI
of
sets
sets
S
ℰ
•
epresent
a
set
n
varous
1
9
forms
A
•
econse
and
nterpret
B
enn
3
6
darams
C
2
•
pp
the
prncpes
of
4
compement
of
a
set,
7
subsets,
8
ntersecton,
unon
of
dsont
sets,
5
sets
10
In
the
ets
enn
ℰ
=
A
=
even
B
=
prme
C
=
mutpes
B
•
we
he
•
s
•
cross
A
⋂
B
=
A
⋂
B
s
he
enn
A
⋃
B
=
A
⋃
B
s
he
A
he
e
2
A,
ths
of
A
B
A
n
A
nsde
A′
and
and
B,
as
s
crce
A′,
1,
that
s
3,
the
crces
do
have
not
no
common
cross.
A
the
5,
,
as
A
set
,
contann
or
odd
everthn
numbers.
B,
wrtten
whch
s
where
⋂
B,
the
s
the
crces
set
of
ntersect
daram.
even
the
and
or
two
daram.
on
shaded
means
the
wrtten
case,
enn
prme
number.
daram.
B,
both,
2,
3,
4,
shaded
wrtten
whch
as
s
A
⋃
B,
s
everthn
the
n
set
of
ether
eements
crce
on
n
the
use
,
,
the
,
10
daram.
regions

A
5,
n
of

of
two
sets
A
and
B
conssts
of
the
eements
n
B
two
B
ths
sets

compement
can
of
the
both
hs
compete
the
unon
I
•
n
In
ntersecton

•
A.
of
10
daram.
A
he
C
sets.
daram,
the
escribing
•
enn
on
or
than
4
2,
union
ether
of
disoint
intersection
n
reater
numbers
the
shaded
eements
or
are
n
no
numbers
crce
not
above
numbers
complement
s
he
C
n
draw
that
A′
natura
and
eements.
o
daram
to
A
and
B
conssts
of
the
eements
n
.
of
a
hep
set
conssts
descrbe
of
a
reons
the
eements
usn
set

n
notaton.
that
set.
or
eampe,
he
In
shaded
set
to
descrbe
part
notaton,
s
the
ths
s
ths
reon
secton
A
⋂
n
A

not
n
IVI
B
B′
A
=
etters
n
‘cucumber’
B
=
etters
n
‘meon’
C
=
etters
n
‘mano’
•
hat
•
essa
s
hs
one
s
more
dfcut
to
tr
to
descrbe
t
usn
words
eua
A
ke
,

and
ake
⋂
sas
to
number’.
descrbe.
•
e
s
up
B
⋂
C
that
A
etters
Is
she
our
⋃
n
B
⋃
‘on
C
car
correct
own
puzze
ke

.
ths.
he
n
shaded
the
reon
here
s
everthn
n
the
unon
of
A
and
B
and
not
ntersecton.
hat
s
A
⋃

IS


subset
2
he
of
B
a
⋂
set
s
compement
everthn
he
unon,
⋃,
of
4
he
ntersecton,
⋂
B′
contaned
of
ecept

SR
A
a
the
two
⋂,
set
A
s
n
of
set
contans
contans
set.
wrtten
eements
sets
the
those
A′
and
contans
A
anthn
eements
n
n
ether
set.
both
sets.
SIS
ℰ
=
natura
numbers
A
=
1,
4,
,
1,
25
B
=
3,
,
,
12,
15
C
=
4,
,
12,
D
=
5,
10,

hat
s
A
⋂
2
hat
s
B

hat
s
the
⋃
1,
15,
no
reater
than
25
20
20,
25
C
C
cardnat
of
the
set
A
⋃
B
⋃
C
⋃
D′


Venn
diagrams
Subsets
RI
•
st
•
S
subsets
nd
the
of
a
ven
number
of
If
a
A
s
subsets
set
wth
n
onstruct
wrte
enn
etermne
eements
set
ths
A
s
unons
compements
as
A
=
set
A
⊂
are
aso
eements
of
set
B,
then
we
sa
B
of
probems
rhtaned
tsef
a
subset
of
tranes
C
=
s
a
subset
of
B
=
tranes,
poons.
⊂
B
⊂
C
and
sets
umber
ove
B
n
A
ntersectons,
•
of
of
darams
whch
•
eements
subset
eements
he
•
a
of
e
a
the
set
usn
of
subsets
enn
•
or
a
•
he
set
A,
the
nu
set,
∅,
and
A
tsef
are
subsets
of
A
darams
set
he

•
he
are
set
has
∅,
a,
two
subsets.
a
b
has
four
subsets.
I
he

he
a
null
subs
e ts
se t
of
and

are
•
he
are
set
∅,
a,
a,
b,
c,
b,
d
a,
has
b
1
subsets.

he
b,
are
d,
∅,
c,
a,
d,
a,
b,
b,
c,
c,
a,
d,
b,
a,
d,
b,
a,
a,
c,
c,
d,
a,
b,
d,
c,
b,
d,
c,
a,
b,
c,
d
n
enera,
for
a
set
onstructing

any
ma
e
ques
tion
sure
you
alwa
ys
univ
ersal
darams
number
Venn
cardnat
of
n,
there
are
2
subsets
diagrams
of
can
be
eements
n
used
a
to
show
the
eements
n
a
set
or
the
set.
unde
rstand

o
the
a
I
enn
n
wth
construct
a
enn
daram,
we
often
need
to
determne
the
se t.
eements
n
an
ntersecton.
ℰ
R


3
If
ℰ
=
natura
numbers
ess
than
or
eua
to
20,
7
9
11
13
17
19
A
B
6
A
=
even
numbers,
C
=
mutpes
B
=
factors
of
20
and
8
of
5,
12
then
2
1
A
=
2,
4,
,
,
10,
12,
B
=
1,
2,
4,
5,
10,
20
C
=
5,
10,
15,
20
14,
1,
1,
4
14
20
16
10
20
18
5
hen
and

o
A
⋂
B
=
2,
A
⋂
C
=
10,
B
⋂
C
=
5,
B
⋂
C
=
10,
construct
mstakes
4
⋂
A
to
the
start
enn
wth
4,
10,
20
20
10,
20
15
20
daram,
the
C
t
prevents
ntersectons.
Solving
hs
s
problems
best
epaned
R
In

a

o
of
pa
nd
draw
40
an
Venn
diagrams
eampe.
2
bos,
1
pa
footba
and
25
pa
crcket.
nether.
out
a
usn

roup
bos
using
how
enn
man
pa
both,
ℰ
daram.
6
C
e
know
and
that
outsde
the
cardnat
there
the
o
there
1
footbaers
ut
ths
are

unon
must
be
+
ncudes
of
bos
of
40
25
C
−
n
and

=
ℰ
s
C
who
⋃
F’
7
F .
34
crcketers
those
F
40,
n
=
C
⋃
F .
41.
pa
ℰ
both,
twce.
6
C
o
the
ow
etra
we
41
can
−
34
=
compete
umber
pan
umber

make
the
enn
footba
pan
up
crcket
C
⋂
daram
18
on
=
1
−

=

on
=
25
−

=
1
IVI
SR
A
=
factors
of
10
B
=
factors
of
C
=
factors
of
•
ace
each
D
=
prme


=
A
⋃
4
F
=
D
⋃
set
nto
the
numbers
between
4
and
1

C
A
B
(A
correct
⋂
B)
=
oe
suare
on
the
rd
15earod
s

ardinalit
4
ardinalit
a
ntha
beow.
s
a
rhthanded
15earod.
the
three
14earod.
students
wth
the
set.
and
⋃
2
even
IS

enn
daram
cardnat
If
A

he
⊂
B,
of
can
the
then
show
the
eements
of
sets
or
the
ever
te
eement
of
A
s
n
a
B
number
of
subsets
of
a
set
wth
cardnat
n
s
2


does
ou
B
A
⋂
B′
A
and
cass
nu
set
and
A
are
subsets
of
cardnat
of
B
of
−
A
⋃
the
B)
=
the
cardnat
cardnat
enn
daram
B
of
b
3
f
B
⋂
students
the
cass,
C
contans
11
have
vsted
A
the
cardnat
ths
about
1rs.
he
⋂
ℰ
hat
sets.
n
he
A′
A

2
B)′
both
eements

14earod.
rhthanded
eements
A
4
a
contans
ontans

efthanded
s
correct
odd
students,
students

atch
odd
SIS
efthanded
=
hp
ardinalit
n
F
F
of
A
⋂
B)
of
A
+
the
.
cass
here
who
raw
a
have
enn
nformaton
rs
have
are
not
12
vsted
daram
and
vsted
bos
nd
the
to
out
n
the
the
.
show
how
ths
man
.

odule
SI

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eam
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these
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5,
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c
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2.,
of
42
vn
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and
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
×
1
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answer
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n
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4
a
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a
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the
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numbers
n
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
2
sze,
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3
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4
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4
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

2
Measurement
2.
and
Es
sle
stimate
e
d
dw
Es
LEarning
•
statistics
e
outcomES
area
of
The
e
The
area
of
a
closed
plane
shape
is
the
amount
of
surface
inside
it.
irregular
2
plane
gures
is
measured
in
square
units,
such
as
cm
.
2
A
•
se
to
maps
and
determine
areas
scale
square
with
sides
of
1 cm
has
area
1 cm
drawings
distances
and
So,
area
squares
T
o
estimate
Count
the
squares
n
can
the
11
be
thought
needed
the
cover
area
number
which
shape
green
to
are
of
of
a
as
shape,
than
there
which
the
number
of
2
unit
1 cm
surface.
squares
more
below,
squares
a
of
inside
half
are
are
trace

it
onto
the
inside
than
centimetre-squared
shape,
the
complete
more
a
and
an
shape.
squares
half
include
grid.
ellow
included
in
and
the
shape.
2
e
estimate
This
method
scale
a
is
area
ver
as

useful
+
11
for
=
1 cm
irregular
shapes,
and
is
often
used
in
drawings.
Sle
n
the
dw
scale
drawing,
a
scale
is
often
written
as
a
ratio,
for
eample
1  1 .
This
means
drawing,
the
n
real
38
the
1 cm
real
on
the
world
is
1 
drawing
times
represents
greater
than
the
1  cm
or
1 m
words,
eample
world.
other
‘1 cm
that
so
occasions,
represents
a
scale
1 m’.
is
represented
in
for
in
orE
ere
is
a
EamLE
map
of

Cuba,
drawn
on
a
centimetre-squared
grid.
Malanas
HN
Cardenas
Saga
Grande
Colon
Pinar
del
Guane
Cabarién
Santa
Rio
Clara
Nueva
Cienfuegos
Moron
Gerona
Nuevista
Camguey
Banes
Holguin
Moa
Baracao
Bayamo
Guantànamo
Santiago
de
Scale
The
As
1 cm
represents
distance
each
cm
from
Cuba
1 m
Santa
represents
Clara
to
1 m,
uatanamo
the
actual
on
the
distance
is
map
.
mared
×
in
1 m
red
=
is
. cm.
 m.
2
The
area
of
Cuba,
found
b
counting
squares
shaded
ellow,
is
11 cm
2
ach
square
represents
an
area
of
1 m
×
1 m
=
1  m
2
So
the
E

estimate
3
the
area
of
Cuba
is
11
×
1  m
2
or
11  m
actiit
ointS
The
area
inside
2
of
The
se
of
area
a
a
2-dimensional
shape
is
the
amount
of
space
it.
can
map
be
scale
estimated
to
b
calculate
counting
distances
•
ind
•
Trace
areas
on
a
stimate
The
ind
the
shape
the
the
island.
esearch
is
area
the
of
this
map
of
island,
drawn
to
a
scale
of
1 cm
and
out
area
of
actual
our
sie
to
estimates
see
are.
to
Eam
actual
the
stimate
wor
width
shape.
an
length
of
the
island
the
greatest
ti
distance
e
sure
you
look
island.
close
ly
3
island.
centimetre-
and
the
close
• Mak
across
a
grid
length,
our
uEStionS
1 m.
2
onto
the
how

it
of
map.
•
Summar
map
squared
squares.
and
a
the
area
of
the
island.
at
the
scale
on
a
map.
•
Rem
embe
r
squa
side
re
is
the
area
equa
l
lengt
h
to
of
a
the
squa
red.
3
2.2
eee
The
LEarning
eee
Calculate
a
shape
is
the
e
distance
around
the
boundar
of
the
outcomES
shape.
•
of
d
the
perimeter
of
t
is
measured
in
units
of
length
mm,
cm,
etc..
a
The
e
of
a
shape
is
the
amount
of
at
2-dimensional
space
polgon
inside
•
se
the
area
formulae
the
shape.
for
2
Area
quadrilaterals
and
is
measured
in
square
units,
such
as
square
2
square
to
calculate
areas
centimetres
cm
,
triangles
or
millimetres
mm
2
,
or
square
metres
m
.
The
area
is
the
missing
number
of
unit
squares
that
would
ll
the
shape.
sides
T
o
nd
the
the
area
of
some
eedl
special
quadrilaterals,
multipl
the
se
and
e
reles
The
e
length

b

the
ele
or
a
square
is
found
b
multipling
the
width.
3 cm
w
The
perimeter
is
 cm
+
 cm
+
 cm
+
 cm
=
1 cm.
llels
5 cm
The
e


llel
l
or

A
=
l
×
a
s
is
found
b
w
multipling
the
base
b
the
4 cm
Area
=
 cm
×
=
1 cm
 cm
perpendicular
height.
h
2

A
=
b
×
h
Area
=
 cm
×
 cm
2
=
easure
the
12 cm
green
sides
the
3 cm
b
are
So
. cm
the
ae
The
Eam
•
long.
perimeter

area

of
is
 cm
+
. cm
+
 cm
+
. cm
=
1 cm.
le
a
le
is
half
the
area
of
a
parallelogram
ti
4 cm
Don’
t
the
fo rge
co rrec
t
t
to
inclu
units
–
de
h
area
b
×
h

is
alwa
ys
squa
re

measu
red
A
=
in
2
units
.
 cm
×
 cm

Area
=
2
2
5 cm
=
b

1 cm
a
ae


e
2 cm
The
b
e
the


e
perpendicular
a
+
is
found
b
multipling
the
average
width
height.
b


A
=
×
4 cm
h
2
2
h
+


Area
2
=
×

=
1 cm
2
7 cm
cd
ses
b
T
o
nd
can
the
nd
Add
all
area
the
the
of
area
areas
more
comple
shapes,
cut
them
into
shapes
ou
of.
Area
together
to
nd
the
total
of
b
area.
triangle
×
h


×
shape
can
be
split
into
a
rectangle,
a
triangle
and
a
=
2 cm
2
trapeium
Area
3 cm
2
=
2
This


=
of
rectangle
3 cm
2
=
Area
4 cm
(12 cm
l
×
of
w
=

×

=
 cm
trapeium
8 cm)
a
5 cm
+
b


+


=
5 cm
×
h
=
2
×
2

=
1 cm
2
12 cm
2
T
otal
8 cm
E

10 cm
2
three
congruent
the
same
shape
and

a
parallelograms,
height
Calculate

+
1
=
 cm
erimeter
is
boundar
of
the
of
with
a
distance
around
the
shape.
Area
is
a
base
of
the
a
amount
of
2-dimensional
space
shape.
and
3
paper
+
ointS
inside
out
2
5 cm)
actiit
sie
=
5 cm
(10 cm
Cut
area
8 cm
e
formulae
1 cm
Area
of
a
rectangle
=
length
Area
of
a
parallelogram
×
width
12 cm.
the
area
of
the
parallelogram.
=
Area
base
of
a
×
perpendicular
height
triangle
base
×
perpendicular
height

=
2
Area
of
a
sum
trapeium
of
the
parallel
sides
perpendicular

2
ae
a
single
straight
cut
on
one
of
=
the
×
height
2
parallelograms
rearranged
•
Calculate
to
so
the
mae
the
a
area
two
pieces
can
be
rectangle.
of
the
rectangle.
Summar
3
ae
a
single
straight
cut
on
the

parallelogram
so
the
rearranged
mae
two
pieces
can
ind
•
Calculate
the
a
area
the
ae
a
single
of
straight
of
a
triangle
with
a
base
of
 cm
a
height
of
 cm.
trapeium.
the
trapeium.
2
A
trapeium
 cm

area
be
and
to
uEStionS
net
cut
on
the
and
has
 cm.
parallel
The
area
sides
of
of
the
length
trapeium
is
third
2
 cm
parallelogram
so
rearranged
mae
•
Calculate
to
the
the
area
two
a
pieces
can
triangle.
of
the
triangle.
.
Calculate
the
perpendicular
height.
be
3
A
of
rectangle
 cm.
has
a
perimeter
Calculate
the
area
of
of
 cm
the
and
a
length
rectangle.

2.3
cles
s
LEarning
outcomES
•
the
•
Calculate
The


le
distance
around
the
outside
perimeter
of
a
circle
is
called
the
circumference
eee
of
a
circle
•
Calculate
the
area
of
a
•
Calculate
the
perimeter
•
A
part
•
A
line
of
of
a
combination
and
crossing
is
a
Calculate
the
area
of

the
circle
through
the
A
line
from
the
centre
to
the
circles
length
of
is
a
ds
plural
radii.
arc
•
and
an
dee
circumference
•
is
of
•
polgons
circumference
and
centre
area
the
circle
A
line
from
a
point
on
the
circumference
sector
to
is
another
a
point
d.
The
on
the
diameter
•
An
area
cut
off
b
a
•
An
area
cut
off
b
two
Le
magine
t
taes
The

eact
is
chord
a
is
radii
special
a
is
over
the
a
diameter
three
number
of
sector.
d

around
diameters
diameters
chord.
segment.
eee
wrapping
ust
circumference
to
is
the
reach
called
circle.
around
π
pi,
the
and
is
circumference.
approimatel
.11
π
is
an
l
number
see
1.1,
and
so
cannot
be
written
down
eactl.
Circumference
The
f
a
=
An

The
diameter
circle
2
is
sie
×
a
of
π
has
×
is
a
2
π
×
twice
of
diameter,
the
radius
or
fraction
the
=
of
radius,
2 cm,
fraction
C
so
the
approimatel
the
or
on
the
π D
alternativel
circumference
12. cm
circumference
depends
=
of
sie
a
to
1
C
=
=
2πr
2πr
decimal
place.
circle.
of
the
angle
at
the
centre.


f
the
angle
is
°,
the
arc
is
of
the
circumference,
as

whole
50°
f
the
angle
angle
is
at
°.
the
centre
is
θ,
then
θ
θ

ength
of
arc
=

×
circumference

ae
ere
is

a
le
circle,
d
and
a
=
2πr

se
square
with
an
r
2
area
of
radius
magine
ept
the
2
the
×
radius,
squeeing
same
circle.
the
area,
or
r
square
but
t
so
inside
it
r
the
t
would
loo
lie
this.
e
could
t
ust
over
three
of
actiit
these
in
the
circle
ee’s
ort
of

S
Spain’
s
largest
is
open
r
space,
r
trafc
The
•
and
fact,
it
would
tae
eactl
π
of
perimeter
Calculate
•
them.
the
area
of
the
circle
is
π
×
the
area
of
the
ellow
square,
or
A
=
π r
is
the
about
area
cd
ses
fo rm
ulae
Rem
embe
r
diam
e ter
Some
shapes
need
to
be
split
into
parts
in
order
to
nd
the
area
. m.
inside
it.
confus
e
fo r
circu
mfer
ence
•
largest
ti
no t
the
2
So
Do
world’
s
roundabout.
Eam
n
the
and
that
is
area.
the
doub
le
the
and
radius
.
perimeter.
• Whe
n
speci
orE
EamLE
door
2.2 m
T
o
it
The
so
is
 cm
wide
•
the
a
area
rectangle
diameter
the
and
of
radius
is
perimeter,
and
the

a
2
we
Do
no t
=
22
height
−

of
=
the
is
=
of
l
π
in
sure
to
roun
d
too
off
soon
.
 cm,
rectangle
ointS
is

12 cm.
Circumference
circle
Area
be
a
 cm.
E
The
gien
fo r
it.
answ
ers
split
e
semicircle.
semicircle
÷
are
alu
ques
tion

use
and
tall.
nd
into
shown
c

a
The
you
=
of
a
2πr
rectangle
×
w
=
12
×
2

2
Area
of
3
ength
a
circle
=
πr
2
=
Area
1 2 cm
of
of
arc
with
angle
at
semicircle
θ

=
area
=
πr
=
π
of
circle
÷
centre
2
θ
=
2π r

2
÷
2
38 cm
2
×

÷

2
2
=
22 cm
Area
of
sector
2
to
nearest
cm
with
angle
at
θ


centre
θ
=
2
πr

T
otal
area
2
=
1 2
+
22
=
1 1 cm
220 cm
erimeter
Summar
uEStionS
182 cm
=
semicircular
top
=
circumference
=
2
=
 cm
×
π
×

to
+
÷
÷
2
2
2
+
+
nearest
sides
2

+
×
+
bottom
12
+


ind
of

a
the
area
circle
and
with
circumference
radius
 cm.
cm
2
A
circle
of
has
 cm.
a
circumference
ind
the
diameter,
76 cm
radius
3
A
and
semicircle
area.
has
an
area
of
2
 cm
.
Calculate
the
perimeter
.
3
2.
Se
A
LEarning
-dimensional
Calculate
solids
surface
cube,
clinder,
shape,
or
solid,
has
a
number
of
faces
or
surfaces.
outcomES
or
•
e
area
cuboid,
right
of
eample
•
A
cuboid
has
•
A
clinder
si
rectangular
faces.
prism,
pramid
has
two
circular
faces
and
a
curved
surface.
and
hen
cone.
nding
the
surface
area
of
a
solid,
it
helps
to
draw
a
e
ss
A
s
is
A
clinder
a
is
throughout
A
cube
Cones
is
a
and
The
A
a
square
cube
l
×
their
e
side
=
l
as
ssse
it
has
the
throughout
same
circular
are
and
not
a
cuboid
prisms
as
is
a
rectangular
the
length.
cross-section
prism.
cross-section
–
changes
ss
of
l cm
a
solid
has
si
is
the
faces.
sum
ach
of
the
has
areas
an
of
each
face.
area
2
cm
2
Therefore,
its
lengths.
e
of
l
same
prism,
prism
pramids
se
the
length.
2
of
with
circular
its
throughout
Se
solid
the
surface
area
of
that
cube
=
l
2
cm
l cm
h cm
A
cuboid
of
length
l cm,
width
w cm
and
height
h cm
also
has
si
faces.
w cm
2
l cm
The
top
and
bottom
each
have
an
area
of
l
×
w
=
lw cm
2
The
front
and
bac
each
of
The
two
ends
each
have
an
The
surface
an
area
of
l
×
h
=
lh cm
Back
2
area
of
w
×
h
=
wh cm
2
w cm
T
op
Base
l cm
area
=
2lw
+
2lh
+
2wh cm
w cm
h cm
Front
l cm
or
a
clinder
of
radius
r cm
and
a
height
of
h cm
r cm
2
The
top
and
The
curved
bottom
are
each
circles
with
an
area
of
πr
h cm

surface
could
be
cut
and
opened
into
a
rectangle.
The
width
is
h cm
and
the
length
is
the
circumference
of
the
circle,
or
2πr
r
The
area
of
The
surface
the
curved
surface
is
2πrh
2
area
of
the
clinder
=
2πr
+
2πrh
2π r
h
Se
A
right
The
it
pramid
pramid
has
The
e
a
in
–
d
has
the
its
h
cm,
verte
diagram
perpendicular
height,
top
of
has
height
each
d
directl
a
of
e
y
above
square
base
the
with
sides
section
triangular
.
to
the
area
of
all
of
of
x
the
base.
cm,
and
cm.
face
can
be
found
2
thagoras
centre
blue
triangle
h
b
y
+

appling
2
x
2
=

2
The
surface
area
=

xh

=

triangles
+
area
of
square
base
2
×
+
x
2
The
diagram
height
of
shows
a
cone
with
radius
r cm,
height
h cm
and
a
slant
s cm
s cm
h cm
2
The
base
is
a
circle
with
The
curved
The
circumference
of
the
whole
circle
The
circumference
of
the
sector
must
surface
is
a
area
πr
sector
of
a
circle
r cm
base,
or
is
2π s
equal
the
2πr
the
fraction
of
the
circle
required
is
r
the
the
=
2π s
So
of
r

So
circumference
2πr
area
of
the
sector
s
2
is
π s
×
=
πrs
s cm
s
2
Surface
area
Se
of
cone
e
–
=
πr
+
πrs
see
2
The
surface
E

area
of
a
sphere
with
radius
r cm
is
π r
ointS
Surface
area
is
the
sum
of
the
areas
of
all
Eam
surfaces.
ti
2
2
Surface
area
of
a
clinder
=
2π r
+
2π rh
When
2
3
Surface
area
of
a
cone
=
πr
+
area
π rs
calcu
latin
g
it
helps
to
surfac
e
draw
a
ne t.
2

Surface
area
Summar
of
a
sphere
=
π r
uEStionS
actiit

ind
the
surface
area
of
a
cuboid
 cm
long,
 cm
wide
Show
and
2 cm
have
2
A
cone
1 cm
height
3
of
is
radius
stuc
12 cm.
A
clinder
A
sphere
Show
that
these
two
prisms
high.
has
has
that
on
top
ind
a
a
the
 cm,
of
the
height
radius
sphere
height
a
12 cm
clinder
surface
of
of
of
area
 cm
and
and
radius
of
a
slant
the
the
same
surface
area
height
 cm,
shape.
radius
of
 cm.
 cm.
and
the
clinder
have
the
same
surface
area.

2.
le
le
LEarning
outcomES
•
volume
The
Calculate
of
le
occupies.
prism,
clinder,
of
a
solid
is
the
amount
of
-dimensional
space
it
taen
up
solids
cone,
t
is
measured
in
cubic
units.
sphere,

or
cube,
eample,
a
cubic
centimetre,
or
1 cm
,
is
the
space
b
a
cuboid
cube
The
of
edge
volume
that
length
of
a
solid
can
be
paced
le


elow
are
1 cm.
can
into
be
the
thought
of
as
the
number
of
unit
cubes
solid.
s
three
prisms,
cd
all
split
into
tl
centimetre
cubes.
s
clde
2
Area
of
blue
top
=
total
l
×
w
b
×
π r
h

number
of
blue
squares
=

×
=
 cm
2
2
2

2
×
=
π
×
2
≈
12. cm
2
2

=
to
2
d.p.
2
2
=
The
number
of
ellow
and
blue
cubes
is
equal
to
the
number
 cm
of
blue

olume
T
otal
=
of
the
top
laer
ellow
volume
volume
of
 cm
=
top


 cm
×

=

12. cm
×

=
the
number
of
to
≈
12.
×
≈
.2 cm
2
d.p.

laer

×
squares


2 cm
=

 cm
to
laers


s
le
=
le
The
e

volume


×
e
ds
of
a
pramid
or

es
a
cone
V
=
d
is
Ah
sees
given
b

le
=
se
e
×
eedl
e
3
So
•
for
a
square-based
1
V
=
pramid
with
base
2
l
h

•
for
a
cone
of
radius
1
V
=
r
and
2
π r
h

•
for
a
sphere
of

V
=
πr


radius

r
height
h
of
side
l
and
height
h
2
d.p
le

Compound
d
shapes
can
be
orE
EamLE
The
shape
shown
The
cuboid
has
ses
broen
into
simpler
shapes.

can
be
split
dimensions
into
a
1 cm
cuboid
×
 cm
and
×
a
triangular
prism.
 cm
2
so,
the
area
of
the
top
is
1
×

=
 cm
14 cm

The
volume
The
prism
The
area
=
has
area
a
×
height
triangular
=

front
base
of
×
×

=
base
 cm
height
the
triangle
is
and


of
8 cm
 cm
×
height
1


=
−

=
 cm.
2
=
1 cm
5 cm
2
2
10 cm

The
volume
of
the
prism
is
area
×
length
=
1
×
1
=
1 cm

T
otal
volume
Sl
ost

+
1
=
 cm
les
problems
orE
A
=
sphere
can
be
solved
EamLE
of
as
a
T
o
calculate
radius
clinder
of
b
setting
up
an
equation.
actiit
2
12 cm
radius
has
the
same
volume
1 cm.
A
lad
from
an
the
height
of
the
clinder,
we
set
holida
collects
unns
in
water
iver
alls
up
in
a
plastic
in
the
container
equation

olume
of
sphere


=
πr
=
shape
π
×
12
cuboid,
of
clinder
=
Area
=
πr
of
top
×

×
π
×
12
h
=
1
1 cm
high.
tips
the
water
2
=
1
πh
into
a
with
=
and
πh

2π
2 cm
2
×
She

long,
height
wide
2
So
a
measuring

 cm
olume
of

×

r
on
amaica
clindrical
a
radius
of
drum
 cm
2πh
and
a
height
of
1 m.
2π

h
=
=
 cm
•
ow
man
times
will
2π
she
have
to
container
E

ointS
olume
is
Summar
the
amount
of
-
space
inside
a

solid.
2
olume
olume
the
wide
of
a
prism
=
area
of
a
cone
=
of
base
×
height
2
A
of
1
3
ind
the
order
plastic
to
ll
the
drum
uEStionS
volume
and
 cm
clinder
 cm.
ll
in
has
of
a
cuboid
 cm
long,
. cm
high.
a
radius
Calculate
the
of
 cm
volume
and
of
a
the
height
clinder.
2
πr
h

3


olume
of
a
sphere
=
A
pramid
has
a
square
base
of
side
 cm.
t

πr

has
the
same
Calculate
the
volume
height
as
of
a
cube
the
of
side
 cm.
pramid.

2.
us
Si
LEarning
Convert
units
s
of
length,
S
Sstème
time,
se
S
units
which
for
area,
be
used
units
for
of
measurement
length,
mass
and
adopt
temperature,
commonl
used
prees
hundredth
and
are
milli
ilo
m

meaning
meaning
1,
1
1 mg
milligram
is
and
1 m
ilometre
is
c
1
a
gram,
1 cℓ
centilitre
is
of
1 mm
1 cm
1 cm
=
1 m
=
There
are
=
rarel
1
1 cg
=
1 g
1 g
other
=
1 cg
1 m
Additionall,
actiit
c
1 mg
1 m
litre
metres.
mss
=
a
1
1
Le
S
centi

of
1
the
of
thousandth.

esearch
series
time
So
•
a
capacit.
volume,
meaning
mass,
can
speed
The
•
nternational
area,
prees
capacit,
esee
outcomES
The
•

=
1 mℓ
1 g
=
1 cℓ
1 g
1 ℓ
1 cℓ
=
=
1 ℓ
1 ℓ
tonne
used
divisions
and
multiples
for
eample
deci
sstem.
1

d
is
1
ces
Converting
b
1,
or
1
ewee
within
or
the
S
Si
s
sstem
onl
requires
multipling
or
dividing
1.
eample
1. m
2 cℓ
=
=
1.
2
×
÷
1 m
1 ℓ
=
=
1 m
.2 ℓ
te
T ime
does
not
have
units
that

seconds
=
1
minute

minutes
=
1
hour
2
hours
.2
ae
d
=
1
das
are
multiples
of
1,
1
or
1.
da
≈
1
ear
le
2
A
square
with
sides
of
1
cm
has
an
area
of
1 cm
×
1 cm
=
1 cm
2
t
is
also
1 mm
×
1 mm
2
So
1 cm
=
1 mm
2
=
1 mm

A
cube
with
sides
of
1 m
has
a
volume
of
1 m
×
1 m
×
1 m

ut
or
8
it
is
also
area,
the
1 cm
length
×
1 cm
×
conversions
1 cm
are
=
1   cm
squared.
=
1 m
or
volume,
the
or
eample
length
conversions
are
cubed.
Eam
1 m
=
1 m
2
So
1 m
And
1 m
•
2
=
1
=
1

2
Rem
embe
r
=
1   m
=
1    m
when
of
States
the
of
world
uses


m
the
S
smal
ler
Sstem,
but
most
notabl
the
do
not.
uses
imperial
•
The
SA
the
rea
unit
and
rates
c
•
12
inches
=
1
1
foot
=

feet
=
1
ounces
1
o
pound
1
lb
=
1
ounces
to

pints
=
1
caref
ul
when
with
calcu
lato r
.
gallon
hae
lengt
h.
wo rk
ing
pint
a
time
.
on
hour
s
a
is
ards
=
=
uid
1
e
diide
con
ersion
ard
1 lb
1
o lum
e
sstem
mss
to
a
unit.
differe
nt
Le
to
and
chan
ging
nited
larger
America
multip
ly
chan
ging
when
ost
to
2
m

ti
1
hundredweight
no t
cwt

hour
s

mile
but
2 cwt
ae
=
1
eles
Le

e
w
mss
inch
≈
2. cm
1 o
1
ard
≈
1 m
1 lb
1
mile
≈
1 m
2.2 lb
≈
1 g

miles
1
≈
 g
 m
≈
≈
ton
1.1
hour
s

minut
es.
sses
c
1
≈

ton
minut
es
 g
1
uid
 g
1
pint
1
gallon
ton
≈
1
ounce
≈
≈
 mℓ
. ℓ
≈
 ℓ
tonne
actiit
2
artinique
has
an
area
of
112 m
or

sq.
miles.
2
•
se
this
mae
information
up
1
square
to
nd
out
how
man
m
mile.
2
•
ow
•
oes

man
this
miles
E
m
are
agree
≈
there
with
the
in
2
square
approimate
miles
equivalent
 m
ointS

ilo

2
centi
Summar
means
1

A
recipe

3

milli
The
the
c
m
means
means
for
soup
litres
of
includes
these
ingredients
water
hundredth
 g
salted
22 g
breadfruit
beef
thousandth
conversions
length
uEStionS
for
area
are
the
squares
 g
of
conversions.
hat
are
coco
these
quantities
in
imperial
units
1

The
conversions
for
volume
are
the
cubes
of
2
ow
man
seconds
are
there
in
2
hours

the
length
conversions.
3

t
is
important
imperial
to
now
equivalents.
the
approimate
A
rectangle
rite
down
is
2 cm
the
area
2

cm
long
and
1 cm
wide.
in
2

mm

square
inches

2.
te
dse
d
seed
Seed
LEarning
outcomES
Seed
•
Solve
problems
involving
A
distance
and
car
at
or
is
speed
s
in
hour
kmh

mus
kilom
e tres
in
constantl
that
speed
is
metres
ti
distan
ce
measure
ilometres
Speed
•
a
of
how
quicl
something
is
moving.
changing
speed,
but
we
sa
we
are
travelling
at
speed
‘
Eam
is
time,
t
be
and
in
the
ecause
time
is
for
usuall
per
aee
the
per
hour’.
an
This
hour,
means
we
measured
in
would
mh
that,
travel
if
we

continued
travelling
ilometres.
ilometres
per
hour
or
ms
second.
seed
speed
calculated
tends
b
to
change,
dividing
the
we
distance
often
tal
travelled
of
b
ee
the
time
seed.
taen,
This
so
s.
distance

•
speed
Rem
embe
r
is
no t

.
=
minut
es
hour
time
s.
or
A
eample
bus
taes

minutes
to
travel
1 m.
1 m

The
average
speed
=
actiit
The
n
1
August
2,
sain
speed
triangle
amaica
set
a
world
record
for
the
1 m
Calculate
his
•
At
this
speed,
he
run
in
useful
wa
of
remembering
the
D
between
time,
distance
and
speed
the
letters
distance,
speed
and
time
go
in
alphabetical
order
T
S
sprint.
T
o
•
a
of
for
. s
is
 mh
hours
olt
connection
of
=
.
speed
in
calculate
the
time
travelled,
cover
up
the
T
for
ms.
D
__
time,
how
far
and
it
shows
that
ou
must
calculate
would
D
S
•
ow
far
1
minute
would
he
t
run
also
shows
that
distance
=
speed
×
time,
and
S
in
distance

that
1
•
speed
=
hour
hat
time
was
his
speed
in
mh
se–e
ournes
orE
ere
is
graph
of
travels
calculate
write
1 m
a
the
speed
time
in
in
in
ourne
the
rst
2
minutes.
mh,
hours.
minutes
is
of
an
hour,
so
his

speed
for
this
part
of
the
25
20
ourne
is
ecnatsiD
1
2
shown
on
a
distance–time
graph.
30
to
bac.
morf
rst
ason’
s
and
emoh
ason
T
o
a
supermaret
often

)mk(
the
EamLE
are
s
15
10
5
1
1
÷
=

 mh.
0
0
10
20
30
40
50
T ime

60
70
(minutes)
80
90
100
110
120
t
taes
him

minutes
to
travel
the
2 m
to
the
supermaret,
so
his
average
speed
for
the
ourne
is
2
2
÷
=
. mh.

e
is
in
the
travelling
The
supermaret
towards
fastest
he
or
for
awa
travelled

minutes,
from
was
on
shown
b
the
horiontal
line.
t
is
horiontal
because
he
is
not
home.
the
rst
part
of
the
ourne
bac
home.
e
now
this
because
it
is
the
1

steepest
part.
e
travelled
2
−

=
1 m
in
2
minutes,
an
average
speed
of
=
 mh
1

e
met
his
average
sister
speed
arsha
of
in
the
supermaret.
She
left
ust
as
he
arrived,
and
she
travelled
home
at
an
2 mh.
30
leaving
plot
point,
position
closer
is
an
to
at
home,
the

graph
passed
minutes,
oining
with
She
1,
we
can
2 m
later,
so
.
see
after
over
her
her
is
minutes
arsha
ust
b
25
20
ecnatsiD
ason
2,
later.
point
the
from
,
hour
sing

ourne
morf
she
her
emoh
can
)mk(
e
that
about
15
10
5
11 m
home.
0
0
10
20
30
40
50
60
T ime
Summar
70

travel

travel
at
2 mh
for
1
hour
1
minutes.
ow
far

he
grap
h
ccles
1 m
to
wor.
She
goes
to
wor
at
an
does
that
of
2 mh.
She
returns
at
2 mh.
ow
much
her
ourne
to
wor
than
her
ourne
ason
The
graph
running
shows
the
the
1 m
distance
travelled
uphi
was
ll
t
show
and
s
him
home
trae
lling
3
no t
quicer
down
hill.
is
120
average
trae
lling
speed
110
ti
show
adine
100
do
•
2
90
uEStionS
Eam

80
(minutes)
b
ames
and
when
• 
he
sprint.
from
towa
rds
steep
greater
120
er
the
home
home.
the
line
the
speed
.
100
)m(
80
E
ointS
ecnatsiD
60

T ime,
speed
distance
and
D
are
40
connected
S
T
20
2
e
consistent
with
units.
o
not
multipl
0
0
1
2
3
4
5
6
T ime
7
8
9
10
11
12
a
speed
in
mh
b
a
time
in
(s)
minutes.

hat
was
his
average
speed
over
the
rst

seconds

hat
was
his
average
speed
over
the
last

hat
was
his
average
speed
over
the
whole
3

A
travel
graph
shows
how
seconds
race
distance
from
changes
over
a
point
time.

2.8
mesee
d

Es
LEarning
o
•
State
the
error
associated
given
measurement,
be
wholl
whether
length,
mass,
time
or
other
measure,
can
accurate.
measurement
The
•
esee
with
ever
a

outcomES
etermine
the
range
and
possible
values
for
a
are
affected
b
human
errors,
or
the
limitations
of
eesight,
of
the
inaccurac
of
measuring
equipment.
ie
all
solids,
a
ruler
given
will
epand
slightl
the
temperature.
when
heated,
so
its
length
will
var
according
to
measurement
•
Solve
measurement
A
ruler
is
unliel
to
have
smaller
marings
than
problems
millimetres,
so
it
cannot
be
used
to
measure
to
a
greater
degree
of
accurac.
easurements
unit
or
larger
or
eample,
millimetre
half
a
given
a
pencil
might
millimetre
cll
orE
actiit
An
elevator
‘aimum
has
a
sign
weight
saing
2 g’.
Three
width
mm
The
four
have
people
weights
 g
and
of
 g
in
the
 g,
all
to
•
s
in
it
the
particular
unit
ma
actuall
be
up
to
half
measured
anthing
more
w
or
plates,
. cm
to
to
be
less
as
12. cm
between
than
the

stated
d
to
and
the
nearest
12. cm
long,
measurement.

les

each
the
long
12.
of
nearest
bolted
together,
with
of
1. cm
a
bolt
2 g,
length
the
the
nearest
mm.
g.
safe
time
a
elevator
to
nearest
be
EamLE
metal
are
to
smaller.
for
them
elevator
at
all
the
to
travel
same
Calculate
thread
to
how
will
attach
be
to
much
showing
the
nut.
Sl
ach
The
plate
total
and
The
bolt
The
greatest
plates
There
ut
if
ere
is
are
the
we
is
between
be
amount
1. cm
1.
plates
are
. cm
1. cm
possible
small
might
minimum
between

×
and
. cm
. cm
and

thic.
×
. cm,
1. cm.
between
could
thread
be
thicness
1. cm
2
could
be
are
−
and
1.
combining
a
measurement.
of
and
1.
large
onl
and
−
1. cm.
thread
the
=
the
bolt
will
is
. cm
bolt
1.
maimum
is
=
be
showing
large
if
the
1. cm.
showing.
small,
the
amount
. cm.
measurement
with
a
of
or
a
orE
n
a
of
EamLE
lemonade
2 mℓ
factor,
per
ach
litre
ow
much
2
second,
bottle
is
lemonade
to
lled
lemonade
the
for
will

ows
nearest
seconds,
the
through
a
pipe
at
a
rate
1 mℓ
bottles
to
the
nearest
second.
contain
Sl
The
quantit
. s
t
×
of
lemonade
2 mℓs
could
be
as
=
little
could
be
as
much
as
112. mℓ
as
.
×
1 mℓ
=
. mℓ
Eam
ti
• ook
orE
EamLE
like
oe
ran
1 m
to
the
nearest
m
in
1
seconds
to
the
nearest
and
second.
e
ran
somewhere
said,
1.
is
1.
‘
teacher
.
÷
Again,
we
so
m
=
are
and
run
as
ou
1.
. m
1.
far
average
‘ut
taen
1.
minimum
have
said,
have
between
seconds
might
seconds,
might
fo r
as
was
have
seconds,
1. m,
1. m
speed
ma
and
in
a
‘min
imum
’
abou
t
time
seconds.
so
our
as
quicl
run
÷
1.
=
. m,
speed
•
as
. ms’.
and
might
no t
maimum
to
tions
racy
measurement
with
alwa
ys
um
some
times
it
onl
Do
combi
ne
be
with
a
accu
maim
. ms’.
combining
ques
in
measu
remen
t.
1.
onl
wo rd
s
‘ma
imum
’
recog
nise
between
e
out
3
a
a
combi
ne
alu
es
you
need
maim
to
um
minim
um .
a
measurement.
E
ointS

measurement
actiit
A
circular
to
the
o
is
cae
nearest
has
has
a
and
some
radius
of
1 cm
pin
or
frill
icing
to
to
go
around
go
on
the
2
cae,
the
greatest
possible
area
for
the

uEStionS

A
pacet
of
butter
weighs
2 g
to
the
nearest
pacets
are
paced
in
a
the
maimum
and
minimum
weight
of
the
2
A
bird
ies
at
2. ms
to
1
decimal
place
for

seconds
the
maimum
possible
distance
the
bird
has
2
A
rectangle
length
width
=
ma
a
+
ma
b
+
b
=
min
a
+
min
b
−
b
=
ma
a
−
min
b
−
b
=
min
a
−
ma
b
×
b
=
ma
a
×
ma
b
to
inimum
the
×
b
=
min
a
×
min
b
second.
Calculate
3
b
aimum
a
nearest
+
pacets.

2
smaller.
bo.
a
Calculate
can
bigger
1 g.

2
unit
inimum
a

a
to
unit
aimum
a
Summar
half
given
one
inimum
a
icing.
be
of
aimum
a
top.
3
and
accurac
alwas
it.
green
A
an
cm.
decorating
She
a
is
of
has
. cm
the
an
to
area
the
rectangle.
of
 cm
nearest
own.
8
to
mm.
the
nearest
Calculate
cm
the
.
aimum
a
2
÷
b
=
ma
a
÷
min
b
ma
b
The
minimum

inimum
a
÷
b
=
min
a
÷
3
2.

t
es
LEarning
An
•
ecognise
tpes
of
information
plural
ungrouped,
means.
frequenc
class
band,
collect
different
are
reggae,
e
features
interval,
for
•
a
the
limits,
midpoint
•
mass
see
ata
as
can
rouped
depends
EamLE
collecting
d
data
cs
such
was
are
d
uantitative
class
boundaries,
aisie
decision-maing
tpes
not
of
numerical,
calpso,
pop,
b
data,
test
T
allies
so
scores
are
she
ranie
are
grouped
orE
for
eample
are
numerical,
such
as
heights,
of
d
our
d
a
test
be
can
a
gaps
was
the
favourite
the
sets
all
in
mars
up
a
of
students
frequenc
integers,
ves
heartower
row,
tae
or
put
whether
continuous
on
an
or
as
cm.
in
n
value
on
a
are
to
the
so
mae
heights
continuous
so
scale,
the
with
heights
rst
a
the
data.
such
height
row
second
a
heartower
of
tae
a
or
on
shoe
music
or
ages.
eample,
certain
values,
usuall
integers,
sie.
ed
into
the
categories.
data
are
The
discrete
method
or
of
grouping
continuous.
in
a
test.
These
are
table
lie
se
the
data
are
counting
discrete.
the
t
ll
ee
this
|
frequencies
easier
.
1
11–2

21–
11
1–

1–

of
heartowers
in
her
garden.
She
as
must
1.
mae
cm
or
sure
1.
there
cm
are
are
x
no
t
ll
ee

|
included.
1
<x≤1
the
of
eactl
height
1 cm
must
be
is
less
recorded
than
or
in
the
equal
2
1<x≤2
rst
row,
the
height
must
be
greater
than
to
the
second
row.
1

cm
1.1
cm
is
recorded
in
1
12
<x≤
clss
hen
or
ls
we
d
round
eample,
nearest

sies
for
<x≤
so
or
discrete
2<x≤
1
is
2
recording
table,
shoe
||
A
ata

EamLE
heights
in
d.
questionnaire
ar.
onl
score
are
be
can
in
ed
data
on
can
e
These
called
data
1–1
The
is
surve,
etc.
t
es
discrete
data
discrete
continuous
etermine
There
le
•
orE
help
often
tables
groupedungrouped,
set
to
e
quantitative
steel
Construct
data
used
datum.
grouped
•
qualitative,
•
of
continuous
other
•
d
data
the
discrete,

outcomES
cm,
if
off
the
then
des
continuous
students
we
could
in
use
a
data,
class
this
the
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arily
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n
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table,
the
because
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ut
1. cm
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data
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lss
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than
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will
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n
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or
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1.
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to
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1
the
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o
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ommie
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11
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n
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hat
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=
limits
1. cm
of
2
T
ommie
All
the
above
130
131
information
132
133
can
be
134
seen
135
on
136
this
137
number
138
line
139
Smith’
s
time
140
•
141
hat
are
the
limits
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sain
olt’
s
time
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Class
Class
E

ointS
ata
can
Summar
be
qualitative
2
limits
boundaries
quantitative
numerical
or
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data
can
be
uantitative
data
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grouped
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limits
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in
are
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and
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boundaries
continuous
data
go
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midpoint
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fruit
parcel
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–1
anana
11–1
lower
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limits
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
when
2
chart
cm
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<
l
⩽
1
1
<
l
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2
<
l
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is
the
mean
of
shows
continuous
hat
are
the
boundaries

are
charts.
table.
beond
have
tall
avourite


questions
or
continuous.

the
incomplete
ungrouped.
3
All
uEStionS
data
class
for
the

width
rst
qualitative
and
the
categor
data
class
in
the
ass
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chart
upper
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lower
limits.
3
hat
the
is
the
ength
midpoint
of
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rst
categor
in
chart

2.
sl


LEarning
s
outcomES
A
•

Construct
and
interpret
bar
chart
has
parallel
rectangular
bars
or
columns
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the
same
width,
bar
usuall
with
a
space
between
them.
ach
bar
shows
the
quantit
of
a
charts
different
•
•
Construct
and
frequenc
polgons
Construct
and
categor
of
data.
interpret
interpret
ar
charts
but
not
are
for
used
for
qualitative
continuous
data
or
discrete
orE
A
EamLE
compan
uses

man
e
reams
The
When
paper
table
draw
ing
gives
in
a
the
res

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data
last

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ber
a
• Whe
n
sens
ible
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look
need
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scale.
scale.
inter
pre tin
g
charts
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to
the
choose
ear
bar
irst
charts
the
of
ti
for
•
data,
line
graphs
Eam
quantitative
data.
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choosing
a
scale,
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bar
caref
ully
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choose
for
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round
number
chart
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amount
of
paper
used
450
at
scale.
square
on
the
400
ais.
350
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biggest
number
is
,
300
we
that
need
shows
a
vertical
at
least
smaeR
so
scale
.
250
200
150
actiit
A
scale
of
one
square
to

100
will
•
Conduct
to
nd
a
out
surve
their
of
2
tae

squares.
friends
favourite
50
sport.
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chart
as
can
draw
the
0
bar
Jan–Mar
•
ut
the
results
in
a
bar
chart.
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frequenc
continuous
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o
draw
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EamLE
frequenc
Jul–Sep
Oct–Dec
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ee
orE
Apr–Jun
shown.
ls
polgon
is
used
to
represent
quantitative
data,
usuall
data.
2
polgon,
plot
the
points
class
midpoint,
frequenc
7
and
oin
them.
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end
points
are
the
midpoints
of
the
intervals
on
either
side.
6
t
meets
the
x-ais
at
the
centres
of
5
adacent
or
this
empt
bars.
t
es
•
the
Se
ee
data
points
are
1.,
2,
.,
,
.,
1–2
2
21–

1–

1–

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
ycneuqerF
the
4
3
,
2
.,

and
.,

1
•
the
net
interval
on
either
side
would
be
0
−1
to
points

,
are
and
11
−.,
to

12.
and
So
the
11.,
0
end
.
20
40
T
est
60
score
80
100
Le
s
A
graph
line
straight
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is
lines.
drawn
b
suall,
horiontal
if
EamLE
The
of
ere
are
is
points
one
a
the
line
and
the
connecting
quantities,
it
them
is
with
placed
on
water
3
in
a
water
cooler
graph,
the
is
measured
te
results

e
As
of
ais.
orE
depth
plotting
time
results
loo

lie
a.m.
ever
1
1
2
a.m.
hours.
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11
noon
2

this
p.m.

p.m.
1
Graph

p.m.

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depth

p.m.
1
of
water
2
(cm)
40
A
line
graph
is
useful
as
it
sometimes
35
allows
the
us
estimate
readings.
estimate
a.m.
was
we
dashed
these
eample,
the
depth
of
we
might
water
30
at
 cm.
need
to
tae
section
of
the
it
loo
points
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maes
care.
line.
as
oo
25
htpeD
owever
,
the
or
that
values
)mc(
11
to
at
20
15
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10
it
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2
hours
to
rell
the
container
,
5
whereas
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to
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will
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taen
empt
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one
a
minute
with
a
or
full
0
8 a.m.
one.
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graph
should,
in
fact,
be
10 a.m.
12 noon
2 p.m.
4 p.m.
6 p.m.
8 p.m.
vertical
T ime
at
the
but
moment
the
graph
Summar

raw
a
the
does
container
not
tell
is
us
replaced
what
time
this
happened,
onl
that
it
uEStionS
bar
chart
to
was
between
E
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this
information
from
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surve

2
s
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Cricet

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2
charts
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Athletics

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3
frequenc
polgon
information
ae
qualitative
data.
the
ine
to
show
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two
sets
of
about
passengers
on
a
the
There
is
bars.
polgons
of
data
same
graphs
to
allow
be
shown
aes.
allow
estimates
us
to
between
the
data
measured
showing
p.m.
for
discrete
sets
mae
a
are
between
requenc
two
raw

ee
a
2
and
ointS
data
e
p.m.
values.
bus.
1–1
11–2
21–
1–
1–
1–
1











mle
ee
ele
ee
3
hich
tpe
of
chart
would
ou
draw
to
represent
qualitative
data

2.
sl

2
ss
LEarning
•
outcomES
Construct
and
histograms
•
Construct
and
A
histogram
loos
A
histogram
is
similar
to
a
bar
chart.
interpret
interpret
pie
ecause
it
is
used
when
continuous,
data
there
are
are
continuous.
no
gaps
between
the
bars.
charts
orE
The
table
ages
of
EamLE
below
some

shows
people
the
on
a
ere
is
the
histogram.
bus.
7
ae
es
ee
6
1–1

2–2

–

–

5
ycneuqerF
4
3
2
1
The
data
ou
are
are
continuous,
classed
as
1
as
0
right
10
up
to
the
da
before
15
20
25
Age
2th
So
e
A
pie
orE
A
surve
EamLE
of
people’
s
1–1
bar
occupies
chart
is
circular
graphs
charts
or
are
actual
in
because
shape.
it
does
fractions,
particularl
frequencies
music
gave
these
A
T
o
8
full
this
turn
nd
the
information
is
°,
angle
so
for
space
from
1
right
up
to
2
A
pie
not
the
useful
less
chart
show
is
different
frequencies.
from
into
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each
a
pie
chart,
person
sector
,
we
nd
occupies
we
50
on
the
nstead
multipl

this
the
÷
total
2
result
=
b

to
show
important
the
results
than
s
the
band
of
a
sample,


ap

Salsa

of
the
sample
1°.
the
shows
proportions.
ee
eggae
sie
it
total.
results
Steel
put
of
are
t
e
T
o
the
2
favourite
45
chart.
proportions,
the
40
s
other
ie
35
(years)
birthda.
the
the
30
our
frequenc
.

+

+

+

=
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as
So
the
angles
t
e
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
are
s
ee
band

eggae

ap

Salsa

And
The
but
the
pie
chart
it
chart
does
shows
ecause
pie
loos
not
quite
charts
lie
show
show
Steel

×
1
=
°

×
1
=
1°

×
1
=
1°

×
1
=
°
band
Reggae
Rap
this
the
clearl
Salsa
ale
actual
that
rap
fractions,
quantities,
was
we
the
can
most
use
popular.
fractions
to
solve
problems.
Eam
orE
EamLE
ti
• efo
re
3
chart
A
pie
chart
‘mango’
shows
as
their
that
in
a
favourite
surve
fruit
of
were

people,
those
represented
b
who
an
chose
angle
of
angl
es
how
man
people
chose
mango.
• f


mango
sector
is
of
the
e
sure
pro tra
ctor
your
Sl
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add
lled

circle.
a


the
number
of
people
choosing
mango
is
of
up
to
pie
the
.
you
°
.
use
your
co rrec
tly.
pie
you

So
the
sure
°.
• Mak
Calculate
draw
ing
mak
e
chart
hae
mista
ke.
is
no t
mad
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k
your

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latio
ns


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×
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check
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then
measu
ring.
2

=
and

1
=

people.
actiit
Summar
uEStionS
•

n
a
pie
chart
coconut
chose
is
showing
°.
f

favourite
people
ice
too
cream,
part
in
the
the
angle
surve,
for
how
Conduct
friends
man
a
to
favourite
surve
nd
tpe
of
out
of
2
their
music.
coconut
2
n
what
3
n
this
wa
is
a
histogram
pie
of
chart
test
different
results,
from
how
all
man
the
other
people
too
charts
the
•
ut
the
results
in
a
pie
•
ut
the
results
in
a
bar
•
hat
are
the
chart.
chart.
advantages
of
a
advantages
of
a
test
bar
chart
8
•
hat
pie
are
the
chart
6
ycneuqerF
4
E
ointS
2

20
istograms
data,
0
30
40
50
60
70
80
90
and
continuous
are
no
gaps
100
between
T
est
show
there
the
bars.
result
2
ie
charts
rather
show
than
proportions
frequencies.

2.2
meses

el
ede
An
LEarning
of
•
ee
is
a
single
piece
of
information
used
to
represent
a
set
outcomES
etermine
the
mode,
data.
There
are
three
commonl
used
averages.
median
mde
and
mean
from
ungrouped
raw
data
frequenc
and
tables
The
A
de
group
ere
of
are
the
common
counted
the
piece
of
number
data.
of
letters
in
their
rst
names.
results.

mode
most
friends
the

The
is

is
,

as
it


occurs

more


than

an

other

number.
me
The
e
is
orE
n
a
the
librar,
the
ividing
The
So
mean
the

number
b

as
of
could
of
boos
be
data
equall.
on
each
of
ve
shelves
is

boos
there
the


of
number
boos
sharing
number

total
of
EamLE

The
result
are
is

ve
boos
+

+
shelves,
on
arranged
a
2
shelf
with

is

+
÷


=
+

=
2.
.
.
on
each
sum
shelf.
of
data

The
mean
is
calculated
as
mean
=
number
of
items
of
data
med
The
orE
acob
The
EamLE
records
results
ut
in
or
a
the
are
order
ed
is
the
middle
piece
of
data
when
put
in
order.
2
number
of
oranges
on
each
branch
on
an
orange






















n
+
tree.
1

list
of
n
numbers,
the
middle
one
is
in
position
2
11
+
1

There
are
11
numbers
in
the
list,
so
the
middle
one
is
,
or
the
th
number.
The
median
is
.
2
f
there
or
the
is
an
data
even
,
,
number
,

,
+
1,
of
pieces
1,
there
of
data,
are

there
is
numbers,
no
so
middle
the
item.
middle
1

one
is
in
position
=
.
2
This
is
mean
halfwa
of

between
those
+


=
2

.
the
rd
and
th
numbers,
so
we
nd
the
aees

orE
ne
•
EamLE
hundred
ere
are
The
the
because
•
3
children
or
this
largest
The
les
were
ased
how
man
das
the
had
been
absent
from
school
in
the
last
month.
results.
de
the
ee
the
is
dl
the
most
frequenc
ed
is
the
e
common
of
of
das
number,
is
as
ne
,
it

has
ds
se
ee


1

2
2




.
middle
of
1
the
+
1
so
we
must
nd
1

the
person
in
position
=
.
2
This
shows
middle
that
pair,
in
there
is
not
positions

a
person
and
in
the
middle,
but
a
1.
TTA
The
rst
The
•

net
,
so
or
the
students

have
both
the
e,
an
have
absence
th
we
an
and
must
absence
rate
1st
add
of
rate
1.
student
together
f
of
we
has
put
an
these
absence
students
rate
values.
mae
a
There
are
The
t
is
2
There
total
of

are
have
quicest
to
eros,
1.
in
line,
So
the
the
will
median
occup
is
positions
which
a
sum
add
a
total
of

column

to
1.

ds
se
ee
Sl
which


1

2
2




.
ones,
twos

of
all
ne
1
1
.
.
and
to
so
the
on.

×

=


×
1
=

2
×
2
=


×

=
1

×

=
12
table
So
sum
of
data
1

ean
=

=
number
of
items
of
=
data
1.
1
TTA
1
1
actiit
•
Si
•
Si
natural
mode
of
numbers
.
natural
mean
of
ind
have
the
si
numbers
.
ind
the
a
mean
of
,
a
median
of

and
a
a
of

and
a
numbers.
have
si
a
median
of
,
mode
numbers.
Eam
•
E

he
ti
mode
high
est

The
de
is
the
st
the
common.
no t
the
The
eian
is
the
idle
value.
•
sum
of
freque
ncy
alue
high
est
2
is
ointS
When
that
has
it
is
the
freque
ncy.
usin
g
a
data

3
The
A
freque
ncy
is
number
of
items
of
middl
e
uEStionS
of
the
• Whe
n

The
mean
total
height
height
of
of
the
four
four
students
is
12 cm.
Calculate
the
Three
numbers
have
a
students.
mean
of

is
and
a
mode
of
.
hat
the
no t
row
usin
g
three
ive

people
and
a
at
a
mode
-ear-old
hat
alue
a
of
diide
the
are
no t
the
numbers
num
ber
3
the
item
.
table
sum
freque
ncies

the
the
but
middl
e
freque
ncy
by
2
the
data
media
n
Summar
table
bus
of
oins
happens
the
to
stop
.
A
have
a
mean
-ear-old
age
leaves
of
,
the
a
median
queue,
and
of
rows
.
of
a
queue.
the
mean,
median
and
mode

2.3
LEarning
ged
d
ged
les
Sometimes
•
etermine
the
modal
class
and
the
mean
frequenc
these
cases,
from
nstead,
we
The
will
helpline
‘n
not
have
the
nd
the
the
dl
group
as
ed
raw
data,
lss
the
containing
how

to
estimate
motorists
This
on
information

a
is
a
so
most
the
median
stretch
used
ee
1–
2
–

1–

–
1
1–
12
d
we
cannot
calculate
common
middle
group,
value,
and
an
–

in
of
in
unit
road
the
2.1.
are
recorded
discussions
in
the
below.
f
compan
average
telephone
we
within
mdl
1
of
below.
actiit
the
do
lss
discover
Seed
that
us
e
speeds
table
answer
we
can
ed
e
states
to
grouped
tables
esed
computer
given
average.
the
A
is
estimate
an
of
information
class,
n
median
ee
outcomES
lss
seconds’.
The
ere
are
the
particular
data
for
So
da.
it
te
t
e
se
1–
modal
class
or
modal
group
is
the
one
which
is
most
common.
a
the
is
modal
class
is
the
one
with
the
largest
frequenc.
n
this
case
– mh.
ee
f

med
The

+
lss
median
speed
of

motorists
is
the
speed
of
one
in
position
1

–1
=

2.,
so
the
median
is
the
speed
of
the
2th
and
2th
2
motorists.
11–2
21
21–
11
1–

1–12
1
There
There
11
are
are
s
their
•
plain
claim
up
to
had

a
speed
altogether
speeds
of
with
between
a
1
1
−
speed
and
m  h.
between

m  h,
1
and
and

m  h.
2
had
m  h.
the
2th
and
2th
motorists
are
in
the
−
m  h
group.
answer.
The
actual
−
2
motorists
with
ustied
So
our

motorists
motorists
speeds
•
2
speeds
m  h
is
are
the
unnown
median
as
class
the
as
it
data
are
contains
grouped.
the
median
drivers.
Ese
e
cannot
nstead
T
o

do
we
this
midwa
e
nd
the
nd
an
we
unit
Seed
eact
Then
for
mean
estimate
assume
speed.
previous
e
that
the
nding

of
as
we
the
everone
mean
ee
not
have
eact
data.
mean.
in
calculation
the
do
each
is
ust
from
f
a
group
the
drives
same
frequenc
mdw
as
in
at
the
the
table.
le
m
f
×
m
1–
2

1
–


1
1–



Eam
• 
he
–
1

12


that
2
middl
e
TTA

•n
=
=
onl
motorists,
As
there
middle
liel

estimate
instead
are
be
a
and
as
using
liel
value
to
E
an
to
be
some
good
we
the
have
middle
some
not
used
value
motorists
travelling
more
of
the
actual
each
travelling
slowl,
modal
speeds
group
faster
the
in
the
than
estimated
T
o
nd
contains
group
is
median
the
is
ate
of
the
calcu
lated

no t
table.
the
mean
is
Summar
the
the
gues
sed.
of
the
most
common
group.
Twent
the
2
the
estimate.
ointS
The
no t
the
class
.
estim

is
is
.2 mh.
mean
This
class
alu
e

e
the
contai
ns

esed
is
high
est

middl
e
The
class
the
media
n

class
–
with
freque
ncy.
122

modal
class
• 
he
1–
ti
class,
median
of
nd
all
which
the
uEStionS
friends
sent
in
a
compared
da.
ere
the
are
number
the
of
tets
results.
class
data.
ne

3
T
o
estimate
the
mean,
assume
all
items
in
es
1–
–1
11–1
1–2
21–2
2



1
the
se
table
and
have
then
the
use
middle
the
value
for
the
rule
sum
of
group,
ee
data

mean
=
number
of
items
of

ind
the
modal
2
Calculate
3
ind
class.
data
the
an
estimate
median
of
the
mean.
class.
3
2.

Leels
LEarning
nderstand
the

levels
The
into
etermine
best
to
use
which
in
a
average
given
are

different
levels
of
measurement.
of
measurement
•
esee
outcomES
There
•

ee
l
sle
is
the
most
basic
and
means
ust
putting
data
categories.
is
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LEarning
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occur.
occurs

robabilit
=
T
otal
number
of
trials
So,
robabilit
×
T
otal
=
orE
oll
T
o
win,
the
she
to
win
had
to
of
of
trials
times
the
event
occurs
2
a
cuddl
hoo
a
to
at
plastic
the
duc
fair.
with
a
winning
number
on
bottom.
She
watched
There
a
umber
EamLE
wanted
number
were
winning
people
1
plaing.
plastic
ut
ducs.
of
oll

people,
wanted
to

won
now
a
cuddl
how
man
to.
had
number.



She
decided
that
the
eperimental
probabilit
of
winning
was

=

2


So
of
the
ducs
might
be
winners.
2


of
1
=
1.
2
So
she
thins
Summar

sobel
about
1
winning
ducs.
uEStionS
made
coctail
are
a
spinner
E
out
of
card
and

3
stic.
ointS
robabilit
as
a
can
fraction,
be
written
decimal
or
4
a
there
stic
She
not
quite
get
the
through
the
centre.
recorded
the
results
coctail
of

spins
percentage.
2
5
did
2
She
robabilit
is
alwas
between
1

Se
1
2


1
1
1
11
robabilit
Calculate
can
eperiment
2
trials

and
1
certain.

3
ee
impossible
the
eperimental
probabilit
that
she
scores
a
the
eperimental
probabilit
that
she
scores
a
is
if
be
the
found
b
number
sufcientl
of
large.
one.

2
Calculate
arsha
She
ow
3
wors
tests
a
man
eorge
colour
these
are
has
eperiment
and
a
factor
of
liel
bag
then
,
to
maing
and
wor
containing
he
puts
taes
it
a
bac.
light
nds
out
of
some
bulbs.
that
a

do
bo
of
counters.
counter,
maes
e
this
does
not

e
a
1
wor.
bulbs
tries
note
times
an
of
its
with
results
ee
there
are
a
where
cl
f
in
sample
ve.
are
there
1
liel
ed
lue
lac
hite
2
1

11
counters
to
in
the
bag,
how
man
of
each
colour
be
3
2.
l
Ell
LEarning
lel
etermine
the
sample
simple
eperiments
set
possible
etermine
faced
with
a
number
of
events
which
are
all
eample,
when
we
ip
a
coin,
it
is
ust
as
liel
to
land
on
heads
outcomes
as
•
are
liel.
of
or
all
we
space
equall
for
es
outcomES
Sometimes
•
e
tails.
theoretical
hen
probabilities
of
we
roll
a
dice,
all
si
outcomes
1,
2,
,
,

and

are
equall
events
liel.
•
nderstand
that
the
sum
hen
of
the
probabilities
possibilities
must
of
all
outcomes
are
equall
liel,
the
probabilit
of
an
event
is
all
equal
number
1
of
successful
outcomes

total
number
of
possible
outcomes
1
The
probabilit
of
a
coin
landing
on
heads
is
,
as
there
are
two
2
possible
A
dice
outcomes,
has
si
heads
possible
and
tails.
outcomes,
1,
2,
,
,

and
.
1
So
the
probabilit
of
it
landing
on

is

2
The
probabilit
of
it
landing
on
a
number
greater
than

is
1
=

Sle
hen
se
answering
possible

ds
probabilit
outcomes.
This
questions,
helps
us
to
it
nd
is
often
the
useful
number
of
to
list
all
equall
the
liel
outcomes.
magine
The
possible
outcomes
e
are
might
tails
¢
¢
ipping
or
thin
one
of
a
1¢
there
each,
coin
are
so
and
three
the
a
¢
coin.
possible
probabilit
outcomes
of
both
both
coins
heads,
landing
on
both
heads
1
is
.
owever,
this
is
incorrect.


h
1

The
probabilit
of
both
coins
The
probabilit
of
getting
landing
on
heads
is

t
2
T
can
be
head
and
a
tail
is
1
=

h
T
This
a
A
listing
A
2-wa
of
all
possible
outcomes
is
called
a
2
sle
se
shown
in
a
2-wa
¢
or



h
t
t
Th
Tt
table
is
a
quic
and
accurate
wa
of
constructing
a
sample
table
space
diagram.
eample,
here
is
a
le
¢

2
3
sample
space
diagram
for
rolling
two
de




ed
2
3
der



The
green
squares
show
the
was
of
scoring

The
probabilit
of
scoring
a
total
of

is
a
1

=


d
t

total
of
.
dice
te
s

les
actiit
The
sum
of
the
probabilities
of
all
the
possible
outcomes
of
an
event
A
ve-sided
spinner
and
a
dice
1.
are
thrown.
multiplied
orE
 ith
this
EamLE
spinner,
The
scores
are
together.

the
probabilit
4
of
5
1
it
landing
on
red
is

The
probabilit
of
it
landing
on
3
1
is
blue
2
1
is
2
The
probabilit
1
or
blue
is
of
it
landing
on
•
red

1
+

hich
liel
=
probabilit
of
it
landing
1
blue
or
ellow
1
is
+
will
add
land
up
on
orE
to
1
red,
=
because
or
EamLE
Charles
and
each
of
these
it
is
certain
it
ellow.
2
avid
are
having
a
ti
race.
•
that
scores
1.
Rem
embe
r
1
probabilit
most
probabilit
red,

The
are
the

2
blue
on
Eam
en,
is
1
+

The
scores

2
of
The
two
hat
en
wins
how
to
add
is
fractio
ns
1
by
ndi
ng
a
1
The
probabilit
that
Charles
wins
comm
on
is
deno
minat
or
.
2
So
the
1
probabilit
1

+
1
The

1

+
1
sum
of
=
the
or
Charles
wins
is


1
all
en


=
2
that
=

1
probabilities
is
1.

So,
the
probabilit
that
avid
wins
is
1
−
2
=

E


ointS
hen
all
Summar
the
probabilit
outcomes
of
an
event
are
equall
liel,
the
T
eri
of
successful
rolls
a
dice
and
raw
a
sample
ips
a
coin.
is

number
uEStionS
space
diagram
to
show
the
outcomes

possible
total
number
of
possible
outcomes
2
2
A
sample
space
diagram
outcomes.
is
a
list
of
all
hat
is
the
probabilit
of
getting
an
even
possible
number
on
the
dice
and
a
head
on
the
coin
outcomes.
3
3
The
sum
of
the
probabilities
of
all
T
eri
uses
green
outcomes
is
either
a
red
dice,
a
blue
dice
or
a
possible
dice.
The
probabilit
that
she
uses
a
red
1.
dice
is
blue
she
.,
dice
uses
and
is
a
the
..
green
probabilit
hat
is
the
that
she
uses
probabilit
a
that
dice

2.2
c
te
LEarning
ll
se
contingenc
se
the
addition
rule
not
inuence
se
the
events
other
where
the
outcome
of
one
event
event.
rolls
a
fair
-sided
dice
and
ips
a
fair
coin.
These
are
events
independent
•
are
the
for
Sophie
eclusive
ees
tables
does
•
le
outcomES
ideede
•
les
multiplication
rule
as
the
coin
has
an
even
chance
of
landing
on
for
heads
independent
events
or
tails
regardless
of
the
score
on
the
dice.
events
The
sample
space
diagram
shows
all
possible
Se

Coin
2

outcomes
de
3



eds
1
eads
2
eads

eads

eads

eads

eads
t
ls
1
T
ails
2
T
ails

T
ails

T
ails

T
ails

T
ails
outcome
There
are
12
possible
equall
liel
outcomes.
1

The
probabilit
of
her
rolling
a

and
ipping
a
tail
=
12
The
T
o
multiplication
nd
the
multipl
=
probabilit
the
robabilit
of
1
=
×
sas
of
probabilities
rolling
probabilit
1
rule
of
a

rolling
2
or
of
and
a

more
each
independent
ipping
×
events
occurring,
event.
a
tail
probabilit
of
ipping
a
tail
1

=

2
12
orE
EamLE

1

The
probabilit
that
rian
is
late
for
school
tomorrow
is
1
1

The
probabilit
that
Sarah
is
late
for
school
tomorrow
is
1
oth
The
=
events
are
probabilit
probabilit
independent.
that
that
rian
rian
is
and
on
Sarah
time

are
both
on
probabilit
time
that
Sarah
is
on
time
1

1

=
(
te
1−
1
same
hen
a


×
(
at
)
1
=
12
1

×
21

=
1
1

=
1
2
le
else
ees
are
events
that
cannot
both
happen
at
time.
Sophie
the


1−
dd
mll
the
)
rolls
same
her
time.
dice
The
and
are
ips
her
mutuall
coin,
she
eclusive.
cannot
roll
a

and
She
can
roll
mutuall
rian
T
o

arriving
mutuall
The
a
the
occurring,
atricia
The
rule
ip
for
a
head
school
as
the
at
the
same
time.
The
are
not
is
table
the
Sarah
might
arriving
be
either
of
2
probabilities
of
each
of
EamLE
maing
and
and
both
late
for
school
are
not
late
sas
probabilit
add
orE
beads
late
eclusive
addition
nd
and
eclusive.
blac
shows
a
eclusive
events
event.
2
neclace
beads.
the
mutuall
She
using
red
chooses
probabilit
of
beads,
each
blue
bead
choosing
a
at
beads,
white
random.
red,
blue
or
white
bead.
l
red
le
e
.2
.
.
l
E

ointS
ultipl
probabilities
independent
The
probabilit
of
the
net
bead
being
white
or
blac
of
white
+
probabilit
of
of
to
nd
=
the
probabilit
events
probabilit
of
both
blac
occurring.
=
.
+
1
.2
.
.
=
.
+
.1
=
.
2
Add
probabilities
eclusive
the
ce
A
contingenc
les
table
is
a
events
probabilit
of
to
of
mutuall
nd
either
occurring.
table
for
showing
results
in
two
different
classes.
Summar
orE
A
EamLE
compan
produces
tests
an
a
uEStionS
3
new
drug
improvement
on
in
a
1
sin
patients
to
see
if
it
The
table
and
right-handed
shows
the
number
students
in
of
a
left-handed
class.
condition.
gede
The
results
are
shown
below
mle
ele


1
1
gede
dedess
resl
mle
ele
totaL
2
1

iee
Le
ded
r
ded
n
2
2
2
ee
Two
students,
selected
totaL




patient
selected
at
random
has
a
probabilit
showing
male
2
the
probabilit
selected
are
that
both
right-handed.
selected
at
random
has
a
probabilit
hat
is
the
student
probabilit
selected
is
that
at
least
one
left-handed

of
showing
improvement.

patient
selected
at
random
showed
improvement.
1
probabilit
that
the
patient
was
female
is
selected
the
are
probabilit
left-handed,
that
and
both
use
students
our

=

Calculate
1

The
Calculate
students
2
3
A
are
improvement.
patient
=

gender,


of
each
12
=
2
A
of

of
1
of
one
random.
1

A
at
.

answer
eactl
to
calculate
one
student
the
probabilit
selected
is
that
left-handed.

mdle

The
to
island
2
below
is
e
drawn
to
a
scale
of
1 cm
e

ais
ccles
ess
12
miles
in
2
hours
1
minutes.
 m.

oughl
how
man
ilometres
is
2
stimate
the
area
of
the
island
in
m
12

miles
ive
an
speed

elissa
of
approimate
in
value
for
ais’
s
mh.
travels
 m
at
an
average
speed
 mh.
Calculate
the
time
it
too
in
hours
and
minutes.
8
A
water
to
the
The
butt
contains
nearest
water
minute
1
runs
to
the
2
gallons
of
water
gallons.
out
at
a
nearest
rate
of

gallons
per
integer.
Calculate
2
A
trapeium
and
a
triangle
have
the

the
maimum

the
minimum
it
same
The
trapeium
 cm,
The
and
The
a
has
the
diagram
quarters
1 cm,
of
and
has
parallel
height
triangle
Calculate
3
will
butt
area.
a
a
of
of
shows
circle
two
of
 cm
the
of
time
for
the
empt.
and
 cm.
height
base
sides
tae
to
time

12 cm.
atch
the
data
descriptions
with
the
data
tpes
triangle.
1
Shoe
sie
A
ualitative
data
2
Shoe
colour

iscrete

oot
C
Continuous
data
three-
of
radius
length
data
radii.
Calculate


the
area

the
perimeter
answers
to
1
of
the
shape,
decimal
giving

ll
in
a
questionnaire.
What
our
place.
p
to
is
your
ne
question
sas
heigh t
 cm
 cm– cm

A
cone
has
a
radius
of
 cm
and
a
height
of
 cm– cm
 cm.
Calculate
its
volume.
 cm– cm

A
clinder
of
has
a
radius
of
 cm
and
a
er
height
 cm
1 cm.
Calculate

the
volume

the
surface

area.
height

hich

hat
is
1. cm.
categor
are
the
categor
8
do
class

select
boundaries
for
this

The
in
bar
the
chart
shows
families
in
a
the
number
school
of
children

hich

Cop
is
the
modal
group
class.
the
table
and
use
the
two
12
additional
estimate
10
columns
for
hamsters
in
the
to
calculate
mean
weight
ronwen’
s
an
of
the
shop.
ycneuqerF
8

raw
a
cumulative
frequenc
graph
to
6
show
the
weights
of
the
hamsters.
4
d
ind
the
interquartile
range
of
the
weights.
2
0
1
2
3
Number
Show
this
information
4
of
in
5

children
a
pie

roll

chart.
a
-sided
raw
a
sample
possible
2
ichael
draws
a
pie
chart
to
show
the
age
in
his
out
are
of
hat
a

people
total
angle
a
space
-sided
diagram
dice.
to
show
all
outcomes.
hat
is
the
probabilit
that
the
two
dice
street.
show
There
and
of

people
dice
of
in

should
the
age
group
the
same
score
–
residents.
he
use
for
this
categor

A
bag
contains
red,
blue
and
green
counters.
3
ive
friends
ne
friend
have
a
moves
mean
awa.
age
The
of
1
mean
ears.
age
of
The
probabilit
of
choosing
a
red
counter
at
1
the
random
is
,
and
the
probabilit
of
choosing

remaining
four
is
2
1.
a
blue
one
is

hat
is
the
age
of
the
friend
who
moved

hat
is
the
probabilit
of
choosing
a
awa
green

ronwen
The
of
table
owns
hamsters
e
w

ses

a
gives
in
pet

shop.
information
ronwen’
s
about
the
f
the
one
bag
either
weights
are
shop.
contains
red
there
or
of
1
green,
each
counters
how
man
that
are
counters
colour
ne


ses
rissa
12 mh.

e
2–

1–2

–

–
2
ccles
At
8
A
does
what
to
The
the
has
at
ourne
return
speed
cuboid
wor
an
average
taes
ourne
does
he
him
in
ccle
dimensions
of
1
2
speed
of
minutes.
minutes.
home
 cm,
 cm
and
1 cm.
ind
the
same
dimensions
surface
area
of
as
a
the
cube
which
has
the
cuboid.


3
Algebra
and
functions

and
Why
us
symbols
symbols
and
letters
are
numbers,
of
umbs?
times
when
we
use
symbols
or
letters
in
place
of
numbers.
it
is
used
as
a
short
hand
when
we
do
not
know
what
a
operations
number
•
istad
umbs
to
Sometimes
represent
and
fo
e
There
se
graphs
ymbols
LeArnn
•
relations,
is.
ariables
Translate
expressed
words
For
statements
algebraically
and
ice
example,
into
I
ersa
think
Then
If
we
use
a
much
I
the
+
etters
a
like
away

−
to
4
need
before
‘n’
n
I
add
the
three.
number
stand
for
I
I
double
rst
the
the
thought
number,
answer
.
of.
we
The
I
subtract
answer
could
write
4.
is
.
this
in
way:
×
we
out
say:
number
.
letter

emember
it
of
might
take
shorter
n
work
we
in
−
to
n
=
put
.
brackets
multiplying
algebra
by
around
the
n
+

to
show
we
.
represent
specic
numbers
and
are
called
ukows
n
other
matter
For
occasions,
what
the
example,
b
use
number
the
×
we
area
of
a
letter
or
symbol
when
it
does
not
is.
a
triangle,
A,
is
gien
by
h

A
=
,

where
The
b
is
the
formula
etters
like
vaiabls,
is
‘b’
write
letters
or
algebra
T
o
add
•
T
o
subtract
a
aoid
and
a
and
of
T
o
•
hen
whateer
‘h’
in
iision
h
the
b
we
and
h
is
alues
the
of
b
represent
is
allows
from
way
write
,
multiplication
a
by
b
multiplying
rst:
is
m
we
we
a
not
us
or
+
b
write
signs
a
b
is
write
letter
multiplied
usually
written
a
written
as
b
80
alue
same
__
÷
the
algebra
their
symbols
in
and
multiply
written
a
base
xed
perpendicular
and
h
happen
numbers,
and
can
and
height.
to
are
be.
called
ary.
to
be
we
or

b
−
concise.
will
+
be
ut
we
all
need
a
h
between
letters
and
between
a
number
as
ab
and
by
a
4
a
number,
is
to
misunderstood.
letter.
•
•
the
otatio
•
e
true
because
Algbaic
sing
length
written
fraction
the
as
number
4m,
not
is
always
m4.
rackets
are
used
to
show
an
operation
that
must
be
carried
out
rst.
A
•
a
−
b
multiply
means
by
subtract
b
from
a
rst
as
it
is
in
brackets,
and
then
The
.
names
gie
ote
that
the

next
to
the
bracket
means
multiply,
ust
as
in
to
and
symbols
numbers
are
we
arbitrary,
a
although
for
higher
there
system.
numbers

In
an
expression
like
ab
,
we
carry
out
the
suare
before
multiplying.
So
is
a

•
ab
means
b
×
b
×
The
a
dix
French
huit’,
call

which
‘uatre
translates
ingt
to
but
‘four
twenties,
ten
and
eight’.

•
ab
means
a
×
b
×
a
×
b
ere

Wods
obert’
s
older
to
arlene
obert.
arcia
is
twice
arcia
is
three
younger
e
do
as
old
times
know
is
Their
daughter,
not
can
use
the
in
numbers
from
rawak.
.
ba
.
ian
.
abun
4.
iti
.
badakabo
.
batian
.
ianitian
.
abunitian
.
istia
years
mother
as
as
two
arlene.
old
as
her
iriam.
their
ages,
but
show
the
•
we
are

algba
sister
than
to
algebra
to
hat
the
.
eidence
rawak
is
ianidakabo
there
people
that
counted
connections.
in
If
obert
arlene
arcia
is
is
is
r
r
years
+
r

+
r
years

+
old,
es
rawak
old
years
as
old
she
as
is
her
two
age
years
is
akabo
word
for
is
an
hand.
older.
twice
arlene’
s.


iriam
is
years
old,
one
third
of
arcia’
s
age.

Algba
to
wods
x
−
4

The
expression
−

looks
a
little
daunting
at
rst,
but
it
is
eA

easier
to
understand
if
we
use
IS,
which
we
met
in
•
rackets
rst:
Start
Indices:
there
iision
and
ddition
e
will
meet
There
Subtraction:
this
Ar

ultiplication:
and
again
in
with
are
x
and
subtract
4.
ultiply
x

−
4
from
n
by

the

t
many

o’clock
there
ing
and
diide
by
.
..
coconuts
coconuts
BIDM
AS
answer.
e
on
a
tree.
nother
tree
has
two
more

coconuts.
ow
use
perfo
rm
calcu
latio
ns.
en
are
Alwa
ys
when
none.
Subtract

..
are
were
there
c
on
cars
etween

o’clock
and

etween

o’clock
and

in
the
a
second
car
o’clock,

tree
park.
more

cars
arried.
n
etters
and
stand
for
or
any
for
ab
symbols
unknown
means
number
a
×
can
numbers,
ariable.
b
a
__

ow
many
cars
were
in
o’clock,
the
car
half
park
at
the

cars
left.
means
a
÷
b
b
o’clock

4


Find
the
alue
of

+

×

8

ictd
umbs
ad
substitutio
ngativ
LeArnn
any
•
erform
arithmetic
children
directed
Substitute
algebraic
th
umb
li
numbers
symbols
learn
to
add
and
subtract
on
a
number
line.
add
3
+
4:
start
at
3,
numbers
move
•
ad
operations
T
o
inoling
umbs
e
for
5
−
4
4:
move
in
to
the
start
4
to
at
right
5,
the
left.
expressions
0
For
uestions
the
number
5
4
4
like
line
3
−

−
,
the
2
=
Additio
4
to
1
with
left,
1
2
4
negatie
to
0
3
2
6
7
answers,
introduce
1
5
we
numbers
3
4
8
9
need
below
5
10
to
extend
ero.
6
7
8
−
ad
subtactio
with
gativ
umbs
A
ll
•
In
the
walls
adacent
below,
numbers
add
to
two
addition
line,
number
in
the
and
like
subtraction
the
ones
uestions
can
be
soled
on
a
number
aboe.
calculate
For
the
ust
brick
example:
−4
+

aboe
Start
them.
at
5
1
3
the
4
part
−4
2
1
3
oweer,
when
negatie,
For
rst
then
the
you
example:
0
−
moe
1
second
must

and
2
in
to
the
3
number
moe

to
the
right
4
be
+.
5
added
opposite
6
or
7
8
subtracted
is
direction.
−4
4
Start
6
2
at
,
face
left
−.
negatie
4
9
2
5
−4,
4
moe
3
2
ow
time
try
again,
multiply
numbers
number
4
to
as
1
the
the
number
0
right
to
be
subtracted
is
1
instead.
2
3
4
5
6
7
8
3
ultilicatio
•
ut
5
to
in
but
two
adacent
calculate
the
ad
divisio
with
gativ
umbs
this
brick
e
the
aboe
know

If
one
×
that:
4
=

number
is

negatie,
the
÷

=
4
answer

is
×

×
×
−

=

negatie:
them.
−
If
two
three
=
×
−4
are
=
×
−
negatie,

are
×

÷
the
−
negatie,
−
=
−
=
−4
answer
÷
the
−
=
is


=
×
−
−
positie:
4
answer
×
is
−
×

=

negatie:
−
general:
if
there
is
ositiv
the
8
−
numbers
−
In
4
numbers
−
If
×
an
v
and
answer
is
if
number
there
is
gativ
an
of
negatie
odd
numbers
number
of
the
negatie
answer
is
numbers
ubstitutio
ubstitutio
number,
and
is
where
calculate
we
the
replace
letters
in
an
expression
with
a
result.
a
−
2b
_______
For
example,
to
nd
the
alue
of
if
a
=
,
b
=
−
and
c
c
=
−4,
a
the
−
alue
2b
of

_______
−

×
−

=
eA
c

−4

−
−
• Rem
embe
r

=
to
fo llo
w
−4
BIDM
AS.


=
−4
=
−
A
ork
through
this
mae.
•
ou
can
only
moe
horiontally
•
ou
can
only
moe
onto
a
or
suare
ertically.
with
a
alue
of

when
a
=
,
b
=
−
and
c
=
−.

Ar
−
c
b
______


a
−
c
a
−
b
bb
a
+
c
a

ac
+
b
b
−
ac
a
+
c
b
−
c
c
+
c
a
−
+

ab
bc

−
b
a
+
c
c
__
a
+

a
+
bc
a
−
b
c
+
b
a
b
+
c

+
ac
−
c
a
c
______

c

−
a
ab
−
+
a
abc
c
4a
+
c
a
+
b
a

+
b
c
−
b
−
b
b

a
+
−
a
n
b
_______

b
e

b
ab

−
c
add
or
number
b
bc
n
T
o
a

+
+
Ar
subtract
line,
directed
numbers,
remembering
to

use
if
the
last
number
is


−
a

c
b
−
a
en
alculate:
moe
a
backwards
c
4
+
−
b
−
−
negatie.
4
c

−
−

−

d

T
o
multiply
calculate
then
if
or
the
there
diide
directed
numerical
is
an
een

answer
number
rst,
there
the
is
the
an
answer
odd
answer
will
remains
number
be
of
−

of
−4
and

If
a
=
−
and
positie
negatie
but
IS
when
numbers
ab
b

hich
of
whateer
negatie.
calculating
and
−,
ealuate:

c
ab
a
b

d
ab
if
these
the

se
=

n

b
negatie
a
numbers
×
numbers,
can
alue
neer
of

−n
be
negatie,
n

n
substituting.
8

ombiig
ollctig
LeArnn
erform
four
basic
algebraic
se
laws
of
are
terms
containing
identical
indices
•
emoe
x,
x
and
x
are
like
terms.
So
are
alculate
4ab,
−ab

ut
a
the
corresponding
and
a
and
ba
are
not,
neither
are

using
letters
are
not
ab
and
the
a
b
because
the
powers
of
same.
the
law
Additio
•
combinations
expressions
brackets
distributie
or
to

manipulate
ariables
ariables.
expressions
So
•
tms
operations
of
with
tms
e
Lik
•
lik
ssios
with
ad
subtactio
algebraic
nly
like
terms
can
be
added
or
subtracted,
in
much
the
same
way
fractions
only
fractions
So
a
+
with
a

b
−
terms
a
×
=
ab
can
b
=
denominator

b
can
be
added

b
−
because
a
ultilicatio
ny
same
or
subtracted.
a

−
a
=
the
be
+
ab
ad

b
=
is
a
the
−
same
a
−
as
ab
b
+

ab
=
a
+
ab
divisio
multiplied
or
diided.
ab

4a
×
ab
=
4
×
a
×
4a
÷
ab
There

of
are
e
4
=

raise
4
we

×

×
a
multiply
=
a
rules
×
a
when
powers
a
×
a
×
b
=
a
a
of
using
the
indices:
×
a
we
a
another
4
×
a
=
×
a
same
×
a
number
,
×
a
=
we
add
the
indices.
a
power,
multiply
the
powers.

a
b

×
n
4
n
heneer
a
=
to
4
general:
=
×
a
b
n
diide
powers
of
the
same
number,
we
subtract
indices.
d

d
×
d
d
4
general:
ny
n
ut,
÷
n
÷
the
=
rule
=
to
a
for
×
d
4
d
power

is
.
n
=
n
=
the
 + −
=
a




a
of
diided
by
itself
is
.
indices
=
a
n

same
positie

=
=
n
number
subtraction
and

general:
any

a
8
d
b
the

power

×

In
×
n
as

n

a
a
n


negatie
a
d
b
÷
raised
=
using
n

d
×



×
d
=
n
number

d
=
a
In
×
_____________________

÷
b
a +b
n
power
=
×
b
n


×

a
a
In
4

×
a
=
b
important
general:
T
o
b
=
a
In
×
idics
heneer
a
a

ab
Laws
×


4a

a
power

=
,
so
a
are
reciprocals.

and
a
are
reciprocals
the
sing
these

a
rules



×
4a
allows

b
6
÷

=a
×
4a
us
4
a
complex
expressions:
eA
4
÷
simplify
b

b
to

a
•

=a

4
b
÷
a


b

Rem
embe
r
to
b
the
multip
ly
num
erato
r
5
and
a
5
=a

5
b
or
deno
minat
or
5
by
the
b
same
rmovig
a
oth
e
a
can
inside
−
a
b
and
=
−b
always
the
ai
of
a
−
hae
brackets
b
by
a
+
−
b
multiplied
pair
the
a
of
term
+
a
by
−
b
=
a
−
b
.
brackets
by
multiplying
each
term
A
outside.
•
For
nt.
backts
been
remoe
amou
atch
the
expressions
on
example
the
left
with
the
simplied

aa
−
b
+
c
=
a
−
ab
+
ac
ersions
on
the
right.

Algbaic
4x
factios
−
x
y
y

e
deal
with
algebraic
fractions
in
exactly
the
same
way
as
numeric
y
x

+
x
___
y

×
fractions.
T
o
add
y
or
x
xy
subtract:
x
a
−
y
−
x
x
−
y
c
____
___
−
2bc
ab
y
x
___
xy
+
First,
nd
a
common
denominator.
y
e
can
use
abc,
as
bc
×
a
=
ab
×
c
=
x
abc


a
c

a

×
a

−
=
bc
c
×
c

−
ab
bc
×
a
×
×
a
c
abc
xy
y

___

=

abc

4x
y
_____
multiply
or

y
x
÷
c

T
o
y

abc

−
−

−
____

x
y
c

=
ab
4x

a

y
x
diide:
x


b
a
ab



÷
hen
diiding,
turn
the
second
fraction
upside


y
4x
down
c

y
x
_____

_____

+
4cd
y
x

b
a
4cd

____
=
×
ultiply

numerators,
multiply
denominators

c
ab
•
ake
up
your
own
matching

bcd
a
exercise

=
nd

ab
like
this
one,
and
test
simplify

c
it
on
a
friend.

d
a

=

b
c
Ar
e
en
n
Simplify:

T
o
multiply
brackets
a
by
term
the
by
term
a
bracket,
outside.
multiply
each
term
in
the

a
−
b
b

The
laws
of
indices:


n
b
×
n
b

=
ac
n

4b
a
b

a

ab
=

n
a
a
b
÷
n
=

a
=

b

×
4
n
a
a+b

n
−
+
a
a
+
d
c

c
b
n

n


a
n
=
a
n
8

iay
e
LeArnn
hae
erform
that
letters
and
symbols
can
be
used
to
represent
numbers.
e
e
•
seen
oatios
binary
operations
can
also
use
symbols
to
represent
oatios
by
ddition,
subtraction,
multiplication
and
diision
are
all
biay
substitution
oatios
e
can
The
dene
perimeter
written
a
∆
by
the
e
a
∆
our
of
they
own
a
operate
binary
rectangle
on
two
numbers.
operations.
with
sides
of
a cm
and
b cm
could
be
as
□
b
=
emember
a
because
that
height
could
a
+
to
and
write
b
nd
then
this
a
b
b
×
as
the
area
diided
a
binary
of
by
a
triangle
we
multiplied
the
base
.
operation,
Δ,
so
that
b

a
Δ
b
=
,

where

b
a
is
triangle
=
the
has
base
length
base
 cm
and
and
b
is
the
height
perpendicular
 cm.
For
this
height.
triangle
a
=

and
.

×


a
Δ
b
=

Δ


=
=
 cm

h
ou
associativ
rst
ere
h
ou
we
met
are
these
going
to
notice
ut
alues
b
T
o
of
a
and
operation
check
it
is
true
b
we
this,
for
a
is
b,
ab
b
=
h
The
if
the
Δ
be
rules

=
sure,
use
then
apply
to
our

Δ
we
if
a
will
which
need
Δ
algebra
it
,
b
to
=
b
rather
be
true
Δ
is
=
b
Δ
is
numerical
whateer
if
a
a
Δ
b
Δ
c
=
a

×
ab
a
Δ
b
Δ
c
=
c
abc


Δ
c
=

=


4
bc

a
bc
Δ
b
Δ
c
=
a
=
Δ

is
associatie.
abc



a
×

=

4
for
be
all
Δ
b
Δ
examples.
alues
law
associatie
might
true
ba

8
is
commutatie.
operation
operations.
a
than
for
it
it

associativ
Δ
binary
suggests
know
ab
So
own

=

Δ

to

Δ
laws
law
must
and
distibutiv
choose.
a
So
see
commutatie
we
ad
..
that
commutativ.
The
in
commutativ
might
commutativ
c.
of
a
If
and
h
The
idtity
identity
is
,
as
it
does
not
change
the
alue
of
a
eA
number:
• Us
e
a
algebr
a


Δ
a
=
=
whe th
er
are
distibutiv
associa
tie
distibutiv
law
inoles
two
operations.
we
dene
the
operation
J
as
x
J
y
=
x
+
y,
T
o
a
J
check
Δ
x
4
=

×
whether
J
y
=
a

Δ
Δ
+
is
4
=
J
a
Δ
a
Δ
x
oer
a
Δ
x
J
y
=
J,
we
need
to
nd
+
y
×
x
+
y
=
ay
ax

Δ
x
J
a
Δ
y
=
out
Δ
x
J
y
=
a
Δ
x
J
ax
+
ay
A
ay

=

ax

+
+
•
ay
Show

a
Δ
y,
so
or

Δ
is
by
distributie
a
law
is
the
rule
we
use
to
that
J
is
not
associatie

=
commutatie.

distributie
oer
Two
J
a
multiply
a
single
operations
✪
a
The
is
bers.

•
a
num
will
law

ax

J

So
all
this
the
if
=

a
as
y.

a
fo r
or
.
distributie
x
e
whe th
er
then
true

utati
distrib
utie
show
If
de ter
mine
o pera
tions
law
comm
The
to
a

h

b
=
ab,
b
=
a
+
are
dened
as
and
b
−
.
term
•
bracket:
Show
that
both
✪
and
are
✪
and
are
associatie.
ab
+
c
=
ab
+
ac
•
T
o
check
e
if
need
J
to
is
distributie
check
if
a
J
oer
Δ:
Δ
y
=
=
a
x
Show
that
both
commutatie.
a
J
x
Δ
a
J
•
y.
Find
the
identity
for
each
operation.
xy
xy

a
J
x
Δ
y
=
a
J

+

•
Is
one
operation
distributie

oer
a
+
xa
+
the
other
y

a
J
x
Δ
a
J
y
=
a
+
x
Δ
a
+
y
=

J
is
not
distributie
e
n

binary

two
oer
Δ
Ar
operation
is
a
method
of
combining
numbers.
These
en
uestions
dened
are
about


The
associatie
law:

The
commutatie

The
distributie

The
Identity,
abc
law:
ab
=
=
Ia

The
=
a,
for
inerse
aa′
=
I.
I,
all
of
is
the
ab◦c
number
operations
a
♣
b
x
♥
y
=

a
+
b
,
and
abc
=
x
−
y.
ba

law:
the
by
=
Find
the
alue
a

♣
4
b

♥
4.
of
ab◦ac
for
which
elements.
a,
a′,
is
the
element
for

Show
that
♣
is
commutatie.

Show
that
♥
is
not
which
associatie.
8

eadig
ad
factoisig
rmovig
LeArnn

•
pply
the
factorise
distributie
or
expand
expressions,
law
+
b
ai
of
backts
reminder:
to
algebraic
e
learnt
=
in
.
that
a
−
b
means

×
a
−
b
=
a
−
b.
e.g.
oth
xa
a
e
xa
+
a
and
–b
hae
been
multiplied
by
.
xb,

a
+
b
x
+
=
a
+
bx
=
ax
lso
y
+
a
+
by
ay
+
by
e
+
bx
+
aa
can
Simplify
algebraic
•
Factorise
b
expand
carefully
•
−
and
+
c
and
then
=
a
−
simplify
ab
more
+
ac
complex
expressions
algebraic
simplifying:
−
4
−
ba
−

expressions
ote
nding
a
common
=
factor
ab
−
a
−
ab
+
ewrite
a
uadratic
expression
=
4ab
−
a
+
the
last
term
is
positie,
as
b
b
•
expanding
expressions
ab
by
by
×
−
=
+b
b

in
the
form
ax
completing
+
the
h
+
k
suare.
actoisig
actoisig
we
split
sing

and
is
the
dig
inerse
factors,
example
factorise
b
the
is
into
the
to
a
it
by
hae
a
highest
of
a
commo
expanding
which
usually
to
facto
factorise
inoles
an
expression,
brackets.
aboe,
a
−
b
common
common
we
must
factor
factor
of
of
turn
,
as
the
it
back
a
two
=

into
×
a
a
and
−
b.
b
=

×
b
terms.
So
a
eA
all
•
factor
ising
you
hae
comm
on

ou
can
=

×
=
a
a
−
−
b

×
b
sing
the
distributie
law
in
reerse
ach
term
They
also
etra
cted
seein
g
if
your
to
the
has
a
as
a
factor
common
−
of
4ab
+a
has
three
terms.
a
hae
common
factors
of
,

and
a,
but
a
is
the
highest
factor.
chec
factor
ising
epand
s
such
ma
e
factor
s.
alwa
ys
expression

a
your
b

n

• he
n
sure
−
−
4ab
+
a
=
a
×
=
a4
4
−
a
×
b
+
a
×
a
by
answ
er
origin
al
This
is
not
as
complicated
as
it
−
b
+
seems.
a
The
sing
numerical
the
part
distributie
of
each
epres
sion.
term,
,
4
and
,
hae
a
common
factor
of
,
and
the
letter
parts,

a,
ab
and
which
88
a
can
,
be
hae
an
a
extracted
in
common,
from
each
so
a
term.
is
the
common
factor
law
eadig
Sometimes
x
two
we
+
ssios
hae
x
two
−
pairs
of
brackets
to
multiply,
for
eA
example:
•


o

epand
remem
ber
ultiplication
is
distributie
oer
addition,
+

×
x
−

=
xx
=
x
=
x
−

epres
sions

so
•
x
two
I
.
+
x
−

istributie
law
Rem
embe
r
to
simpl
ify
if
possib
le.

−
x
+
x
+
x
−

−

xpanding

The
four
terms
come
from
multiplying
Simplifying
the
A

irst
term
uter
in
each
bracket:
terms:
x
×
x
=
x
×
−
x
atch
=
−x
=
+x
left
nner
terms:
+
×
x
the
with
expressions
the
on
expansions
the
on
the
right.
Last
terms:
+
×
−
=
−

x
+
x
−

x
x
−
x
+
4
x
−
4x
−
4
−
4x

omltig
th
sua

ot
all
expressions
will
factorise.
xx
−
4

n
expression
in
the
form
x

ax
+
bx
+
c
can
always
be
written
in
the
+


x
−

+
x
−
x

x
+x
−
4

form
ax
+
h
+
k

This
is
useful
when
ompleting
the
soling
suare
uadratic
uses
the

x
+
euations,
=
x
+
nx
+
n
=
you
will
see
in
unit

x
−
4x
+

.
identity

n
as
−

x
+
nx
+
n
b
eplacing
n
with
gies

e
b
(x

+
)
b

=
x
+
bx
+
or
x
+
bx
=
(x
+
+
bx
+
c
(x
=
b

)
−
(
b

)
+
−
(




+
)
n

)

b
x
b

,
)


So

(

se
FI
to
expand
two
c

expressions.
Wre
eALe


ou
can
factorise
extracting
a
by
common
factor.

T
o
write
x
−
x
+

in
completed
suare
form,


use
the
identity
x
+
bx
+
c
(x
=
+

b
=
−,
c
=
lways

T
o
(
)
+
complete
x
+

=
+


(
b

+
bx

−
c
=
(x
+
)

(

+


)
x


x
suare,


−
the

use
x
fully.
c

.

So
factorise
b
)
+


b

)
+

=
x
−

−


+


b

−
(
)
+
c


=
Ar
x
−

−

en

xpand
xa

xpand
and

xpand
a

Factorise
−
4x
−
simplify
−
44a

x
+
−
4y
−
x
−
y

fully:

a
b

+
b
b
xy
−
y
c

−
c
8

uth
actoisig
LeArnn
Factorise
including
two
algebraic
two
ais
.
we
found
out
how
to
factorise
difference
e
between
also
saw
backts
two
by
nding
a
common
factor.
that
suares
roe
of
expressions

x
•
ito
e
In
•
factoisig
+
x
−

=
x

−
x
+
x
−

=
x
+
x
−

algebraic

T
o
expressions
to
be
factorise,
we
need
to
turn
x
+
x
−

back
into
x
+
x
−
.
identical

The
expression
x

•
The
x
eA
the
great
sign
s.
care

ou
multip
lyin
g
but
×
x
−

contains
three
terms:
term,
x
,
is
the
product
of
the
First
terms
in
each
bracket,
x

•
• 
ae
x
+

addi
ng
Wre
to
x
term,
terms,
are
to
The
with
•
The
x
+x,
×
−
constant
is
the
and
term,
sum
+
−,
×
is
of
products
of
the
uter
and
Inner
x
the
product
of
the
ast
terms,
+
×
epand

simpl
ify.
eALe


T
o
factorise
x
−
x
−
4:

x
4
can
can
only
factorise
factorise
into
4
into
×

x
or
×

x
×
,
but
one
factor
must
be
negatie
as
the
constant
is
−4.

So
the
possibilities
products
of
the
that
uter
yield
and
x
Inner
and
−4
terms,
are
listed
which
T
The
0
below.
must
make
n
the
right
of
each
possibility
I
+
4x
−

x
×
−=
−x
+4
×
x
=
+4x
−x
x
−
4x
+

x
×
+=
x
−4
×
x
=
−4x
x
x
+
x
−
4
x
×
−4=
−x
+
×
x
=
+x
−x
x
−
x
+
4
x
×
+4=
x
−
×
x
=
−x
x
x
+
x
−

x
×
−=
−x
+
×
x
=
+x
−x
x
−
x
+

x
×
+=
x
−
×
x
=
−x
x
factorisation
is
x
−
4x
+

as
the
outer
the
sum
S
x
correct
is
−x
and
inner
terms
add
up
to
+
+
+
+
4x
=
+x
−4x
=
−x
x
=
−x
−x
=
+x
x
=
−4x
−x
=
+4x
+
+
−x
of
−
h
diffc
btw
two
suas
eA

The
expression
aboe.
This
is
4x
−

because
looks
there
different
is
no
to
term
the
in
type

x
•
Do
no t
confus
e
the
factor
ising

oweer,
it
factorises
in
the
same
way,
and
is

called
difference
between

x
two
suares,
because
 
+
 

4x

is

=
 
of
with
.

and

is
•

Som
e tim
es
sua
res
It
factorises
a
product
to
x
+
x
−
.
The
outer
terms
hae
fo r
The
sum
in
in
x
=


the

of
of
the
−x
and
these
is
original
the
,
inner
which
is
terms
why
multiply
there
factorises
any
to
expression
ax
was
+x.
no
=
term
no t
eam
ple
 
+
differe
nce
be tw
een
imm
ediatel
y
two
obiou
s



 
=
 


.
expression.

enerally,
to
is
a
+
bax
of
−
the
form
a

x

−
b
b.
A
ovig
two
algbaic
ssios
a

ual
The
expressions
x
−
x
−


and
lgebraic
expressions
can
often
be
written
in
more
than
one
x
easiest
way
to
show
that
they
are
eual
is
to
simplify
the
expression
until
it
resembles
the
simpler
eALe
that
x
+


look
ery
but
the
factorisations
uite
different.
of
each
Find
the
expression.


Show

one.
factors
Wre
+
more
are
complex
x
way.
similar,
The
−
+
x
−

4
=
x
−
x
+
.
olutio

x
+


+
x
−
4
=
x
+
x
+

+
x
−

=
x
4x
−
4

+
x
+
x
+

+
4x
−
x
−
x
+


=
x
−
x
+


=
e

ou
can
factorise
of
between
lways
two
two
Factorise
by
pairs
x
+

extracting
of
a
brackets,
common

as
the
en
fully:
+
b
−
4
b
x
−
c
b
c
+


−
4c
+


Show
x
fully:


or
difference

b
Factorise
a
the
fully.

a
factor,
including
suares.
factorise
Ar

−
n
product

x
that
x
−


+
x
−
x
+

=
x
+
x
−
.


hagig
of
LeArnn
•
hange
a
th
subct
fomula
h
subct
ost
formulae
of
a
fomula
e
the
subect
of
are
written
to
enable
us
to
calculate
one
specic
a
ariable.
That
ariable
is
called
the
subct
of
a
fomula
formula
bh

•
hange
the
subect
of
For
a
example,
the
formula
for
the
area
of
a
triangle,
A
=
,
is
written

formula
including
roots
and
in
such
a
way
If,
instead,
that
if
we
know
b
and
h,
we
can
calculate
A
powers
•
hange
the
subect
of
we
formula
where
appears
on
the
would
•
Sole
word
wanted
need
a
to
draw
formula
to
a
triangle
calculate
with
the
a
gien
height.
e
area
and
would
base,
change
subect
the
both
we
a
subect
so
that
the
formula
showed
how
to
calculate
h
sides
problems
hagig

formula
T
o
tells
change
inerse
th
us
the
subct
the
of
a
calculations
subect,
we
undo
fomula
reuired
the
to
work
calculations
out
by
a
gien
applying
ariable.
the
operation.
bh

The
formula
A
=
tells
us
b
that
×
h
÷
2
=
A

A
___
sing
inerses,
we
deduce
that
b
÷
h
2
A
or
=
b
h
ote
that
your
socks,
T
o
it
is
Wre
eALe
the
‘undo’
and
the
a
the
socks.
easier
perform
rearrange
of
we
shoes
to
take
same
formula
last
operation
ecause
your
changes
by
you
put
shoes
using
performing
off
rst.
It’
s
your
a
bit
shoes
before
same
formula.

a
area
of
a
trapeium,
A,
is
gien
by
the
formula
A
+
b
=
h,

where
T
o
a
make
e
and
b
apply
b
the
are
the
lengths
subect:
inerses
in
in
the
the
of
the
parallel
formula,
reerse
a
A
both
sides
by
h:
a
A
__
+
+
b
h
÷

b


a
A
___
both
sides
by
:
+
b

=
h

A
___
Simplify:
=
a
+
b
h
A
___
Subtract
a:
−
a
=
a
+
h
A
A
___
Simplify:

___
−
h
a
=
b,
or
b
to

=
h
ultiply
added
=
h
Simplify:
is
and
order:
__
iide
b
sides
=
−
h
a
b
−
a
h
a,
h
is
the
then
perpendicular
diided
by
,
height.
then
your
to
multiplied
by
h
off
your
socks.
terminology,
operation

The
taking
after
remoing
mathematical
the
like
on
both
we
sides
Wre
The
to
time,
swing
eALe
T
seconds,
is
gien
by

that
the
it
takes
for
a
pendulum
formula
l
__
T
π
=
,
√g
where
l
is
the
length
in
m
and
g
is
the

acceleration
T
o
make
l
due
the
to
graity
subect,
in
rst
ms
diide
 π:
by
eA
π
T

l


√g
π
__
=
Simplify:
π

l
T
__
=
√g
π
•
Rem
embe
r
to
apply



T
l

Suare
both
sides:
=
)
(

g :
g
h
subct
Wre
Suppose
alues
eALe
we
of
T
o
side
l
we
by
area
=
=
make
First,
wanted
the
rea
lw
aas
e
of
the
rst
last
.

T

Simplify:
l
=
g
)
(
π
g
o
o pera
tion
g
__
π
iners
=
)
π
=
)
(
(
__
lg
T

by
Simplify:
the
l

)
( √
g
π
ultiply
T
__
both
sids
of
th
fomula

to
and
draw
a
rectangle
perimeter
were
so
that
the
numerical
eual.
perimeter
l
+
the
w
subect:
must
remoe
subtracting
l
the
term
from
containing
both
l
from
the
righthand
A
sides:
w
______
lw
−
l
=
l
+
w
−
•
l
sing
the
formula
l
=
,
w
lw
−
l
=
w
lw
−

=
w
lw
−

nd
T
aking
a
common
w
factor
•
4,
=
=
an
w
you
of

nd
l
if
and
a
w
w
alue
=
=
,
.
of
l
and

=
−
as
alue

w

w
l
the
−

iiding
w
−
both
sides
by
w

w
so
that
the
area
of
the


rectangle
is
and
 cm
the
w

l
=
perimeter
w
−
ake
n
n
en


 cm

e
Ar
is
the
subect
of
this
T
o
change
formula,
n
−
the
subect
of
a
formula:
perform
the
same


S
=
operations
on
both
sides.


ake
k
the
subect
of
this
formula:

se
inerse
operations
to

r
=
k
+
p
undo
the
formula.
If
new



sphere
length
rite
r
the
r
l
of
has
in
radius
the
terms
subect.
r
has
same
of
l.
a
surface
surface
This
area
area
means
as
of
the
write
a
4π r
.

cube
of
side
the
both
sphere.
formula

and
make
sides
remoe
it
subect
of
the
from
is
on
formula,
one
side
and
factorise.

8
Lia
Lia
LeArnn
Sole
uatios
e

•
uatios
linear
euations
in
lia
uatio
is
a
mathematical
sentence
stating
that
two
one
expressions
are
eual.
They
are
recognisable
because
they
contain
an
unknown
eual
•
Sole
linear
euations
in
one
e
unknown
containing
sign.
are
usually
calculate
•
Sole
linear
unknown
euations
containing
in
Sole
a
simple
linear
the
The
method
one
subect
one
Wre
eALe
sole
the
4x

The
left
terms
sides
to
4x
=
side
in
x,
an
letter
euation
or
this
ukow
means
in
the
we
should
euation.
soling
a
a
linear
formula,
euation
which
you
is
saw
similar
in
..
to
e
changing
applied
to
both
sides
of
the
euation,
use
to
inerse
rearrange
side
x

will
so
+
+
of
the


=

sually
to
is
the
the
to
remoe
euation,
the
other
all
and
terms
containing
remoe
all
terms
the
not
unknown
the
containing
from
the
side.
to
uatios
the
simplest
remoe
Wre
+
with
method
to
backts
sole
an
euation
containing
brackets
them:
both
−.
x
is
from
olvig
contain
add
aim

euation
undo
−
of
of
The
unknown
−
sole
the
unknown
terms.
T
o
to
of
ineuality
operations,
on
alue
one
fractions
the
•
asked
brackets

+
eALe


4
−
a
=
a
+

Simplify:
emoe
4x
=
x
+
brackets:


The
right
side
will
contain
There
terms
without
x,
so
subtract
both
are
for
−
=
more
the
a
+
4
unknowns
on
the
right,
so
we
will
make
x
=
x
+

−
−
a

=
+
a
=
a
+
4
+

=
a
+
4
4
=
a
+
4
−
=
a
a
dd

to
both
sides.
Simplied
now
subtract
−
nd
the
alue
of
x,
sides
x
by
nd
a,
−
both
sides
by
:
a



=
=

diide
:


4
diide
T
o
both
−

Simplify:
T
o



or
r


a
x
=
=
−


eA
•

Alwa
ys
aim
remo
ing
than

the
x
Simplify:
x
this
unknowns.
sides:

4x
a
x
side
from
−
the
a
to
the
so
ma
e
smal
ler
we
the
unn
own
uan
tity.
remo
ed
the
−a
posit
ie
−a
by
is
by
smal
ler
addi
ng.
4
euatios
The
best
by
a
all
the
cotaiig
techniue
common
for
factios
dealing
denominator.
with
The
fractions
is
denominators
to
multiply
will
cancel,
each
term
remoing
fractions.
Wre

eALe




=
x
+
The


−
common
ultiplying
x
+
x
denominator
each

term
−
by
x
is
the
x

x
+

common
+

−
−
x
denominator:
x
Simplify
the
fractions

=
by
x
+


−
cancelling
x
A

−
x
=
x
x
=
x
+

xpand
dd

−
+
x
=
x

=
x
to
brackets
both
sides
to

to
make

the
+

the
Subtract
iide
term

in
from
both
x
both
sides
by
.
per
=
charge
irect
T
axis
charge
usig
represent,
and
Wre
There
are
stones
steps
are

than
choosing
formulating
eALe
Sole
an
euation
distance
rst
the
what
the
euation.
unknown
onsider
should
this
hat
the
second.
ow
to
nd
which
charge
the
both
same.
is
the
cost
of
this
ourney
problem.
in
three
pile.
The
piles.
third
The
pile
second
has
pile
twice
as
has
4
many
Ar
en

euation
more
Sole
many
stones
are
there
in
each
the
stones
x
as
for

stones
the
4
uatios
•
important
plus
.
companies
The

mile.
the
oblms
plus

•
olvig

mile.
sides
per
x
T
axis
positie
−

=
x
+

pile

Sole
the
euation
olutio
x
−

x


=
et
the
rst
pile
contain
n
−
4
Then
the
second
pile

stones.
contains
n
+
4
stones.


Sole
the
euation
4
The
third
pile
contains
n
+
4

stones.
=
x
There
n
are
+

n
+
stones
4
+
altogether,
n
+
+
n
+
4
+
4

so
4
=

e
n
+
n
+
4
=

emoing
4n
+

=

Simplifying

−

=

n
brackets

If
there
are
fractions,
simplify
them.
Subtracting
4n
+
−
both
4n
=

from

sides

emoe

y
any
brackets.
4
using
inerse
operations,
4
4n


=
4
iiding
by
4
create
a
side
for
the
4
unknowns
n
=
and
a
side
for
the

numbers.
So
the
piles
contain
n
=

stones,
n
+
4
=

stones
and

n
+
4
=

lways
keep
the
unknowns
stones.
positie.


uadatic
uadatic
LeArnn
Sole
uatios
e
uations
•
uatios
uadratic
euations
by
euations
by
with
a
suared
term
are
called
uadatic
uatios
factorising
olvig
•
Sole
uadratic
uadatic
uadratic
completing
the
Sole
uadratic
can
sometimes
by
be
factoisig
soled
by
factorising.
This
suare
method
•
euations
uatios
euations
relies
on
a
special
property
of
the
number
:
by
If
two
numbers
hae
a
product
of
,
then
one
of
the
numbers
must
be
.
formula
Wre
eALe


For
Wre
eALe
the
rectangle
euation

rectangle
greater
has
than
its
a
aboe,
to
sole
w
+
4w
=
4,
make
the

length
width.
ero
by
subtracting
4:

4 cm
The
eual
w
+
4w
−
4
=

area
Then
factorise
the
lefthand
side

is
4 cm
If
we
.
w
call
the
width
w cm,
ut
length
is
area
found
is
length
the
w
and
+
4 cm,
by
and,
as
multiplying
width,
we
+
−

=

arrie
if
these
two
factors
hae
a
product
of
,
the
either
the
at
w
=
w
+
−

or
=
w

=
or
w
−

=


euation
uadratic
ww
+
4
=
remoing
the
euations
can
hae
two
solutions.
4
In
or,
w
the
brackets,
this
case,
original
one
solution
problem,
as
a
does
not
rectangle
make
cannot
sense
hae
a
in
relation
width
of
to
the
− cm.

w
+
4w
=
4
So,
the
rectangle
olvig
ot
all
is
 cm
uadatic
expressions
wide
and
uatios
will
factorise,
so
 cm
by
the
long.
comltig
aboe
method
th
will
sua
not
always
work.

saw
in
unit
.
that
x

b

ou
+
bx
+
c
=
(x
+
b
)
(

)
+
c


x
4x
+

=

cannot
be
soled
by
factorising.

First,
diide
by

=

so
the
coefcient
of
x

the
number
of
the
x
term


x
x
+


sing
the
identity
aboe,
b
=
–
and
c
=



So
x
x
+
=

becomes


x





+
=




x

=




x


=
adding

to
both
sides


x

=
+
or
Suare
√
roots
can
be



x
=
+
or
+
√



x
=

+
√

or
x
=
–

x

=
.
√

or
x
=
.
to

decimal
places
positie
or
negatie.
is
:
Wre
eALe

eA


x
−
4x
+

=

cannot
be
soled
by
factorising.
•

First,
diide
term
is
by

so
the
coefcient
of

x
the
number
of
the
three
meth
ods f
or soli
ng
:
uad
ratic
euat
ions
as



x
−
x
+
=



the
identity
+
x
bx
+
c
=
x
(
eam
ination
ues
tions

b
b


sing
might
speci
f
y wh
ich

+
−
)
(

)
+
c,
b
=
−

meth
od to
use.


and
c
=
•


−
x
x
+
=

becomes
ues
tion as
s for
answ
ers


x
−
to a



−

−
+
=

−
−

=
num
ber of
decim
al
places
or sig
nic
ant




x
If an
eam
ination


So

ou m
ust be
able to
use al
l
x
gur
es th
is tel
ls yo
u that


the u
adratic
will no
t

−



x

=
adding
to
both
facto
rise.
sides




x
−

=
±
Suare
√
roots
can
be
positie
or
negatie.



x
=
±
+
√


e


x
=

+
√
n


or
x
=
−
+
√



uadratic
euations
hae
euations
hae
a


term
x
=
.
or
x
=
.
to

decimal
places

uadratic
two
olvig
uadatic
uatios
by
the
suare
is
really
only
solutions.
fomula


ompleting
x
useful
if
the
coefcient
of
x
is
uadratic
euations
can
.
be
soled
by
factorising,

For
the
general
uadratic
euation
ax
+
bx
+
c
=
,
completing

−b
√
±
b
−
4ac
using

we
use
the
formula
x
the
suare
or
by

the
formula
=

a
−b
±
√

b
−
4ac

x
=
a
A

•
Sole
the
euation
◦
Factorising
◦
ompleting
◦
sing
the
the
x
−
4x
+

=

by
Ar
en

euation
suare
formula
Sole
the

x
+
x
−

=

by
factorising.
Wre
eALe


Sole
the
euation

x

T
o
sole
the
euation
x
−
x
+

=
+
4x
−

completing
a
=
,
b
=
−,
c
=
=

by
:
the
suare.


−b
±
√

b
−

4ac

rectangular
eld
has
a

Substitute
into
x
=
width
a
of
x
metres
and
a


−−
±
√ −
−
4
×

×
length

of
x
+

metres.

x
=

Its

×
area
is
4 m
.
rite



±
√
an

−
euation
and
sole
it
by


x
=
formula
to
nd
the
length



and

+
√



x
=
−
or
x
=
.4
or
width
of
the
eld.

=

x
√


x
=
.
to

decimal
places

0
imultaous
imultaous
LeArnn
Sole
simultaneous
buy
in
two

word
and

sugarapples
for
.
an
aocado
costs
x
and
a
sugarapple
costs
y,
we
can
write
unknowns
algebraically
Sole
aocadoes
linear
If
euations
•
uatios
e
I
•
uatios
x
+
y
=

problems
ne
solution
There
In
If
are
fact,
we
This,

=
its
knew
too,
.
single

=
has
y
e
and
the
is
=
=
for
.
example
euation
aocados
has
and

x
an
=

and
innite
y
=
..
number
sugarapples
cost
of
solutions.
.,
then
solutions,
only
for
example
one
solution
that
two
unknowns
x
=
.
satises
and
both
y
=
..
euations
..
with
can
solution.
y
.
euation
olvig

other
there
solutions.
uniue
own,
y
and
=
solutions,
that
+
oweer,
x
x
other
on
x
is
sole
Such
a
pair
of
euations
simultaous
has
euations
are
called
an
in
innite
two
number
unknowns
simultaous
uatios
by
of
to
gie
a
uatios
limiatig
a
ukow
Wre
The
eALe
x
+
4y
=


x
−
y
=


rst
step
unknowns
and
eA
term
s
to
in
multip
ly
the
cons
don’
t
y
so
by
,
so
the
euations
coefcient.
they
both
e
so
that
multiply
contain

×

x
+
y
=
44

×

x
−
y
=

y
=

y
=

there
is
the
subtract
iide
both
hae
no
we
the
sides
know
uation
coefc
ient
multip
ly
euations:
by
Substitute
Subtract
the
of
the

or
need
to
eua
tions
.
:
iide
:
alue
e
can
x
y
x
=
:
+
x
of
:
check
−
y
x
we
=
=
are
4y
y,
we
=

4
=

x
=

x
=
,
+
4:
by
Substitute
8

same
one
of
euation
the

by
,
x
ote:
y
−
−y
=
can
calculate
x:
t
eua
tions
alrea
dy
same
fo rge
tant.
Som
e tim
es
will
manipulate
the
ow
eua
tion 
•
to
the

Rem
embe
r
all
is
has
euation
ow
•

correct
by
y
=

substituting
into

,
y
=
:

−

=

orrect.
euation
:
y
ow
consider
Wre
this
example:
eALe
x
+
4y
=


x
−
y
=


e
can
euate


coefcients
x
+
4y
=

x
−
4y
=

of
y
by
ecause

×

we
add
multiplying
the
the
signs
of

the
euations
to
4y
by
:
terms
are
eliminate
opposite,
them.
eA
x
=
44
x
=
4
• 
o
iide
by


elim
inate
unn
own 
uation

x
+
4y
=
x
=
4

+
4y
=
the

•
Subtract

4y
=
if
the
If
the
Sam
e
sign
s
−
are
then

by
4
y
=
−
,
x
=
4
in

x
−
y
=
aDD
the
eua
tions
.

heck
s
Sub tra
ct
eua
tions
.
the
Differe
nt
iide
sign

are
Substitute
an


Substitute
y
=
−
,
x
=
4

−
−
=

orrect.

3x
+
2
A
•
Find
the
alue
•

suare
is
 cm
of
x
and
y
in
this
rectangle.
2x
has
a
length
of
a
+
b
and
width
of
a
−
b.
Its
y
22 cm
area

.
alculate
a
and
b
17 cm
e

n
Simultaneous
euations
can
be
soled
by
eliminating
one
unknown.

T
o
eliminate
each
the
unknown,
Ar
en

simultaneous
Sole
a


Sole
b
−
=
b
must
be
eual
in
the
simultaneous
+
y
=
4
+
y
=

sum
e
of
my
years
old
are
euations

4x
ow
coefcients

=
x
The
In
the
+
a
the
euation.
age
time,
we
euations
and
my
both
my
father
father’
s
will
be
age
is
.
exactly
twice
my
age.
now


uth
simultaous
uatios
In
LeArnn
unit
.,
Sometimes
•
Sole
one
simultaneous
linear,
Sole
soled
pairs
of
simultaneous
euations.
one
word
a
better
method
is
to
eliminate
an
unknown
by
substitution.
euations,
nonlinear
olvig
•
we
e
simultaous
uatios
by
substitutio
problems
This
method
Wre
Suppose
b cm
The
is
total
useful
eALe
a
and
ery
cuboid
a
length
of
of
one
of
the
euations
is
nonlinear.

has
height
when
a
suare
base
of
side
h cm.
its
edges
is
 cm,
and
h
its

surface
There
eight
area
are
is
 cm
four
ertical
horiontal
edges
edges
of
of
length
length
b,
h
and
so:
b
b
4h
The
four
+
b
=
ertical


faces
hae
an
area
of
bh
and
the
two
horiontal

faces
hae
an
area
of
b
,
so:

4bh
e
+
cannot
b
=

eliminate
b

or
h
in
the
same
way
as
before,
as

is
nonlinear.
oweer,
4h
e
can
we
+
can
rearrange

to
make
h
the
b
=

4h
=

−
b
Subtracting
h
=

−
b
iiding
substitute
this
into
by
subect:
b
4
:

4bh
+
b
b
+
b
=


4b
−
=


xpand
to
gie:
b
−
b

+
b
=

=


=
b

=


=


Simplify:
b
−
b

earrange:
−
b
+


iide
by
:
b
Factorise:
So
b
−

=

or
b
b
=

or
b
=

Substituting
If
b
=
:
ecause
pairs
00
of
into
−
b
−
−

+
b
=
−

:
4h
+
b
=

4h
+

=

4h
=

h
=
4,
there
b
was
solutions.
a
If
b
=
uadratic
b
=
:
4h
+
4h
+

euation
inoled,
b
=

4
=

4h
=

h
=
,
we
get
b
=
two

idig
itsctios
Simultaneous
graphs
can
gahs
be
used
to
nd
the
points
where
two
intersect.
Wre
The
euations
of
eALe
diagram
shows

the
graphs
of

y
=
T
o
x
−
nd
we
x
the
sole
−

and
points
the
of
y
−
x
=

intersection,
simultaneous
euations

From
y
=
x
−
y
−
x
x
=
euation
y
=
x
in



and

:
+
Substituting
−

to
:

y
=
x
−
x
−

−
x
−

−
x
−

−
4x
−


x
+

=
x
Subtract
x
and

x
+

−
x
−

=
x

=
x
=

−
x
−


from
each
side

x
−
+
−

=

or
x
=

or
x
=
Substituting
y
y
,
x
x
−
−

into

+

Factorising
=

−
:
x
=

x
=
:

=

y
=

and
x
y
−
y
−,

are
the
x
=

x
=
−:

=

y
=

+
eA
•
A
can
check
in
pair
intersections.
:

y
=
x
x
−

y
=
of
=
,

=

y
=
−
:

−

x
−
x
−
x
=
−,
y

=


+
=
−
r
of
:

oth
are
r
will
and
hae
a
non li
near
will
hae

two
so lutio
ns.
correct.
e
Ar
linea
so lutio
ns.
linea
pairs
x
of
eua
tion

−
pair
eua
tions
• A
e

n
en


Sole
the
euations


rectangle
is
4 cm
x
+
y
=

and
y
=
x
−
4x
+
a
length
of
x cm
and
a
width
of
soled
y cm.
The
If
one
there
the
perimeter
is
euations
can
substitution.
euation
is
uadratic,
area

and
by


has
Simultaneous
be

will
be
two
pairs
of
 cm.
solutions.
So
xy
=
4
alculate
and
the
x
+
length
y
and
=
.
width
of
the

rectangle.
alculate
from


The
graphs
one
point
of
y
=
x
x
+
4
and
y
=
x
the
+
x
−

cross
unknown
euation.
at
Simultaneous
simultaneous
euations
to
nd
the
coordinates
used
where
they
to
euations
nd
the
can
points
of
where
point
second
only.
be
the
the
linear

−

Sole
the
two
graphs
intersect.
cross.
0

aiatio
ict
LeArnn

•
epresent
direct
and
hose
Sole
problems
4
litres
of
water
in

minutes.
in
4
minutes
it
will
dispense
4
litres
of
water.
and
are
two
uantities
here:
the
time
in
minutes
and
the
olume
inoling
of
direct
dispenses
symbolically
There
•
pipe
indirect
So
ariation
vaiatio
e
inerse
water
in
litres.
ariation
oubling
time
e
by
say
sing
we
the
,
that

for
write
time
we
the
the
it
e

The
aries
all
ates
=
the
onathan
number
is
of
of
I
run
 mph,
s
the
distance,
=
or
,
Substituting
So
d
So
running
o
t
∝
kt,
=
d
d
is

vais
in
t.
litres
e
water.
by
If
dictly
and
read
t
multiply
with
for
this
we
as
the
“
the
time.
time
is
in
where
,
so
k
is
4
a
=
constant.
k,
or
k
=
.
is

litres  minute.
directly
proportional
to
t,

∝
t
and
per
hour.
in
I
=
=
into
at

is
In
total
this
minutes
a
and
pay,
case,
p
p,
=
aries
directly
aries
distance
speed,
of
directly
with
my
d
=
to

a
decimal
 m.
 mph
ary
directly,
I
can
write
k
gies

=
k,
or
k
=

I
would
dict
run
d
=

×

=
 m
vaiatio

diameter
of
 cm
has
of
 cm
an
area
of
. cm
place.


circle
to

with
a
decimal
diameter
0
has
an
area
of
.4 cm
place.

iamt
d
with
speed.
.
eALe
with
=
h
k
 mph,
coml
circle


coer
d m
h.


minutes,
directly

Wre
the
.
kt
ariation.
eALe
at
=
=
worked,
run

t,

I
hen

of
water
thing.
inole

water
as
¬ow
with
paid
∝

4,
same
distance
d
water
of
t
hours
Wre
If
=
rate
always
The
write

directly
mean
of
of
amount
amount
t”.
also
hen

olume
olume
to
the
the
algebraically
proportional
So
doubles
multiply
iamt

d

Aa
A


.


.4
the
oubling
the
diameter
produces
a
4fold
increase
in
area.
eA
In
fact
the
area
aries
directly

A
∝
d
with
the
suare
of
the
•

,
or
A
=

diameter.
If
kd
a
and
b
ary
direc
tly
a
then
Substituting
A
=
.
and
d
=
is
cons
,
tant.
b
.
=
k
k
=
.4

So
A
=
.4d
A
Wre
eALe



suare
has
an
area,
A cm
,

The
olume
radius,
of
a
sphere,
 cm
aries
directly
as
the
cube
of
the
and
a
diagonal
of
length
d cm.
r cm.
The
area
aries
directly
with

hen
the
radius
of
radius
is
 cm,
the
olume
is
. cm
.
T
o
nd
the
the
suare
of
the
length
of
the

a
sphere
with


∝
r
a
olume
of
 cm
:
diagonal.

,
or

=
.
=
k
k
=
4.
kr
hen
the
diagonal
is
 cm
long,

the
to

decimal
area
is
 cm
.
places
•
Find
the
euation
connecting
area
suare


=
4.r
A
and
d.

So
for
a
sphere
with
a
olume
of
 cm
,
•
Find
the
of
a
with


a
=
4.r
=
.
diagonal
of
 cm.

r
•
Find
the
length
of
diagonal


r
=
r
=
√
.
of
a
suare
with
an
area
of

Ar

h
aries
en
directly
omplete
h

k

 cm
. cm
the
with
table
e
k.
of

alues

for

h
and
k

.
n
If
x
x
∝
k
is
aries
y,
a
directly
and
x
constant,
calculated
The
mass
directly
side
of
with
a
suare
the
tile
suare
aries
of

the
for
ariation
referred
tile
with
side
length
 cm
mass
Find
of
the
length
and
gien
x
is
to
and
a
can
pair
be
of
y
sometimes
as
proportion.
The
ariation
and
might
roots,
inole
for
4 g.
mass
of
a
tile
with
example
if
with
cube
x
aries
directly
side
the
of
y,
then
 cm.

x

then
has
powers
a
y,
length.


with
ky

alues

=
∝
y

and
x
=
ky

x
aries
root
of
hen
directly
with
the
cube
y
x
=
alculate
y
,
y
=
when
.
x
=
.
0

vs
vs
LeArnn
epresent
indirect
Sole
If
problems
inerse
.,
we
saw
how
uantities
can
ary
directly.
ariation
symbolically
•
vaiatio
e
In
•
vaiatio
inoling
one
uantity
Sometimes
doubles,
uantities
so
ary
does
the
other.
ivsly
ariation
Imagine
If
you
you
had
oubling
Inerse
other
If
the
diided
the
of
means
by
cat
food
number
ariation
is
enough
cats,
the
ssuming
4

hae
food
would
cats
that
to
only
means
if
feed
one
last
the
4
cats
for
food
uantity

for
days.
days.
lasts
is

for
half
multiplied
the
by
n,
time.
the
n
cats
eat
once
a
day,
you
actually
hae
enough
food
for
meals.
c
is
last,
the
number
of
cats
and
d
is
the
number
of
days
the
food
will
then
4

d
eA
•
If
a
c
hen
and
then
=

ab
b
is
ary
d
and
c
ary
inersely,
we
write
iners
ely

cons
tant.
k

d
∝
or
d
=
c
e
can
say
c
d
Wre
y
is
inersely
eALe
ourney
to
work
proportional
to
is
 km
 kmh,
it
takes
me
4
minutes.
If
I
trael
at
 kmh,
it
takes
me

minutes.
I
multiply
say
sing

the
that
for
speed
hales
speed
the
by
speed
speed
in
,
and
kmh
the

I
diide
time
and
t
the
vay
for
or
t
=

w cm,
of
a
and
rectangle

width,
ary
Substituting
so

=
,
t
=
4,

that
the
area
is
xed
at
4 cm
.
k

•
•
Find
some
that
t.
rite
the
alues
of
l
and
=
k
=

w
so
euation
4

that


The
connects
0
l
and
w.
relationship
is
t
=

we
get
time
by
.
ivsly
time
k

∝
with
time.
A
t
inersely
long.
at
the
aries

trael
e
l cm,
d
I
If
length,
or
If
oubling
The
c,
in
minutes,
we
write
this
as
c
o
s
coml
with
For
rest
direct
example,
aries
ivs
ariation,
the
time
inersely
vaiatio
inerse
it
takes
with
the
ariation
for
a
car
suare
can
to
root
inole
trael
of
the
powers
 m
or
roots.
from
acceleration.
If
it

accelerates
at
4 ms
,
it
takes

seconds.

e
The
can
use
time,
this
t,
to
aries
nd
inersely

t
=

with
it
takes
the
if
the
suare
acceleration
root
of
the
is
 ms
acceleration,
a

∝
,
√
time
k

t
the
or
t
=
√
a
when
a
=
4,
a
so
k


=
√
k
=
4



So
t
=
√
a


If
a
=
,
t
=
=
√
.
seconds
to

decimal
place

A


cuboid
•
rite
•
omplete
a
has
a
rule
suare
or
the
base
formula
table
and
a
showing
showing
olume
the
the
of
 cm
connection
possible
base
between
lengths
the
and
base
length
and
the
height.
heights.
h
as
lgth
ight
h
b
cm



cm
4
.
b
b
•
escribe
the
Ar

w
aries
type
of
ariation
between
the
en
inersely
omplete
the
with
table
of
base
length
and
the
height.
e
p.

alues
for
w
and
If
n
x
aries
p
inersely
with


then
x
∝
,
and
x
=
y
w


p

k
is
a
constant,
alues
intensity
indirectly
distance
The
of
with
from
intensity
light,
the
the
of
l,
suare
light
light
of
the
source,
is
of
 cm

from
for
¬ux

d
at
the
ariation
source

the
distance
where
the
x
and
a
can
pair
be
of
y
referred
from
intensity
is
to
sometimes
as
proportion.
a
The
ariation
might
inole
source.
powers
alculate
gien
aries

distance
and
4
calculated
The
y



y,
k
the
is

and
roots,
for
light
example
if
x
aries
with
cube
indirectly
¬ux.
the
of
y,
then


k

x
r
aries
inersely
with
the
cube
root
of
∝
r
=
alculate
,


=
when
and
x
=

y
hen

,


y
.
r
=
.
0

rlatios
athmatical
LeArnn
•
latios
e
ppreciate
what
makes

relation

list
is
simply
a
relationship
between
two
sets
of
elements.
a
of
all
the
students
in
a
class
matched
to
their
heights
is
an
relationship
example
•
nderstand
•
nderstand
range,
•
types
the
image,
epresent
a
graphically
,
ordered
of
of
a
relation.
relationship
terms
Imagine
a
number
put
machine
This
‘+’
a
set
of
numbers
is
fed
in
on
cards,
and
for
each
domain,
in,
there
is
an
output.
codomain
is
a
machine.

goes
in,

comes
out.
relationship
algebraically
,
pairs,
arrow
set
of
diagrams
e
could
and
y
to
call
this
relation
represent
omai
the
y
=
x
+
,
using
x
to
represent
the
input
output.
codomai
ag
ad
imag
2
ll
IN
the
case,
7
numbers
the
that
domain
can
might
be
be
fed
all
in
the
are
real
called
the
domai.
In
this
numbers.
1
0
OUT
5
The
Domain
numbers
that
can
be
fed
out
are
called
the
ag
Range
If

maps
onto
,
we
say
that

is
the
imag
of
.

The
relation
might
numbers.
hen
T
o
classed
more
all
domain
for
if
either
a
The
5
4
4
3
3
2
1
0
0
as
the
alues
could
2
This
is
1
a
1
1
2
2
3
3
4
4
a
y
can
be
also
−4
−
−
need
to
eery
to
this
or
a
the
subset
element
of
of
In
real
numbers.
as
relation
real
state
codomain.
not
hae
domain
of
real
the
and
suare
as
the
domain
numbers,
x,
=
shown

x
to
+
on
the
can
e
real
neer
be
numbers.
domain
the
the
and
codomain.
domain
other
codomain.
words,
must
eery
map
to
input
so
roots,
hae
then
would
y
=
√
nonnegatie
y
a
=
not
suare
√
root.
x would
be
a
x is
real
not
only
a
numbers.
If
the
be
dened
relation.
the
the
element
of
the
domain
can
be
written
.
an
relation,
of
represent
−
for
the
outputs,
output.
do
adds
y
member
of
latios
o–o
uniue
x
that
output
we
the
domain
allowable
nonnegatie
eual
the
of
a
or
the
the
in
elements
uatio,
This
e
0
relation
an
be
one
dene
all
hae
relation,
least
rstig
5
is
relation,
numbers
the
negatie
practice,
range
a
as
we
was
might
codomai,
elements
at
negatie
relation
Then,
in
will
hae
x
the
dening
or
must
s
so
range
be
one
=
the
ut
negatie,
The
y
dene
aow
as
diagam:
eery
member
of
the
domain
maps
range.
the
relation
−
−
−



using
a
tabl




4


4




to
(range)
dd
to
ais
represent
e
can
ordered
a
then
pairs
such
as
,
,
,
4,
,
,
−,

can
also
be
relation.
6
represent
as
y
used
the
shown
relation
on
the
by
a
gah,
by
plotting
5
the
right:
4
Some
relations
are
o–may.
This
means
that
members
of
the
3
domain
can
map
to
more
than
one
member
of
the
range.
2
n
example
is
y
√
=
x
1
ere,
4
maps
to

and
to
−.
(range)
y
0
4

maps
to

and
3
2
a
graph
it
1
(domain)
2.5
n
x
1
−.
looks
like
1
this:
2
2
1.5
1
eA
0.5
•
0

he

rule
fo r
x
1
2
3
4
a
relat
ion
5
mus
(domain)
t
0.5
be
true
elem
ents
of
fo r
the
1
all
domai
n.
1.5
2
Ar
en
2.5


Some
of
the
−,
relations
domain

Some
are
are
may–o,
map
to
the
such
same
as
y
=
x
.
member
of
the
relations
example
This
two
range:
,

members

is
are
contains
y
=
the
the
a
may–may.
√
In
what
and
examples.

n
ere,
2
2
1
1
0
0

relation
is
the
y
=
image
4
b
hat
type
of
a
x
−
,
of:
−4
relation
is

x
.
example
shown
on
the
arrow

y

1
diagram:
=
x
hat
−
is

the
range
of
the
1

relation
2
n
a
graph,
it
would
look
like
y
=
x
−

2
this:
e
y
n
5

There
are
relations
4
four
types
one–one,
many–one
and
of
one–many
,
many–many
.
3

The
allowed
inputs
make
2
up
1
3
2
1
domain,
outputs
x
4
the

The
set
the
of
the
allowed
codomain.
all
actual
outputs
1
is
1
2

called
the
elations
an
range.
can
euation,
be
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shown
set
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ordered
3
pairs
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as
a
graph.
4
5
0

uctios
athmatical
LeArnn

•
State
the
properties
function
a
istinguish
relationship
se
:x
and
ordered
diagrams
•
and
function
→,
a
relation
element
where
of
the
each
element
of
the
domain
maps
to
codomain.
one–one
and
many–one
relations
are
functions,
but
one–many
between
and
using
one
function
So
•
is
that
exactly
dene
fuctios
e
  x
function
pairs,
=
are
not.
by
uctio
notation
y
relations
arrow
graphs
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many–many
s
  x
with
relations,
ordered
e
otatio
can
pairs
also
we
and
use
can
graphs
two
use
to
other
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show
forms
a
arrow
diagrams,
tables,
function.
of
algebraic
notation.

The
function
y
=
x
−
x
can
also

x
ll
three
that
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we
ne
way
line
x,
or
mean
dealing
from
to
written
as

−
vtical
ertical
eALe
x
forms
are
mapping
h
Wre
=
be
the
with
one
li
make
 : x
→
x
same
a
−
x
thing.
function,
number
to
The
and
  x
the
notation
 : x
→
reinforces
notation
suggests
another.
tst
sure
that
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relation
is
a
function
is
to
use
the
test.


onsider
hen
e
x
can
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is
x
f
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function
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write
a
  x
this
table
of
=
as
  x
=
x
−
.
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  −
alues
of
=
.
  x
−
−4
−
−




for
x
=
−
x
=

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−
−
−
−
to
.


4





y
ere
is
the
graph
of
the
function:
25
The
vtical
li
tst
states
that
a
relation
is
a
20
function
if
intersect
the
In
this
ust
there
case,
once,
graph
any
so
are
it
no
at
more
ertical
is
a
ertical
lines
than
line
will
that
one
cross
point.
the
15
10
graph
function.
5
0
5
4
3
2
5
08
x
h
ivs
of
a
fuctio
A
The
inerse
of
a
function
y
=
  x
is
x
=
  y .

y
It
reerses
the
effect
of
the
function

nd
the
inerse
of
the
function
y
=
x
−
interchange
hange
the
x
and
y
to
gie
x
+

=
y
choose
codomain
:
The

First,
x
is
a
function
if

we
T
o
√
=
−
the
domain
and
carefully.
codomain
could
be
dened
.
subect:
as
the
so
it
nonero
is
no
real
longer
a
numbers,
many–one

relation.

x
+

=
y
,
or
y
√
=
x
+



The
function
y
=
x
−

will
hae
an
inerse
of
y
=
√
x
+
•
hat
on
ecause
like
a
suare
root
can
be
positie
or
negatie,
the
limits
must
be
placed
.
graph
looks
•
this:
the
The
the
domain
domain
function
y
•
3
of
codomain
hat
and
a
function
of
the
ice
would
the
is
inerse
ersa.
graph
of

y
=
x
−

look
like
now
2
1
0
4
3
2
x
1
1
2
3
4
5
6
eA

1
•
nly
one–
one
func
tions
2
will
3
This
a

fails
the
ertical
line
test,
is
and
so
although
it
is
a
relation,
it
is
hae
also
a
an
iners
e
that
func
tion.
not
function.
many–one
function
Ar
will
hae
an
inerse
that
are
a
one–many
relation.
en

ere
is
the
graphs
of
y
=

x
and
y
=
x
−
x
e
n

function

is
many–one
y
30
20

20
The
inerse
y
  x
=
x=
10
the
2
0
x
1
1
2
3
4
3
  y ,
The
30
by
then
writing
changing
to
y.
ertical
on
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line
test
graph
to
can
be
check
relation
is
a
if
function.
30
the
why
function
20
the
xplain
a
10
20

and
subect
used
of
of
found
1

hich
is
x
1
10

or
10
0
3
one–one
y
30
4
a
relation.
two
the
functions
other
is
a
function
one–one
will
not
function
hae
an
inerse
function.


hoose
a
sensible
domain
so
that
 : x
→
√
x
+

is
a
function.
0

ahs
of
lia
fuctios
What
LeArnn

•
nderstand
linear
the
concept
of
•
lia
e
function
raw
and
linear
functions
Find
of
the
linear
and
•
interpret
x
and
graphs
the
fuctio?
yintercepts
functions
gradient
concept
of
graphically
of
a
fuctio
is
one
that
produces
a
straightline
graph.
can
of
recognise
three
a
linear
possible
function
from
its
euation,
as
it
will
hae
forms:
•
y
=
c,
where
c
is
a
constant
for
example,
y
=
4,
y
=
−,
y
=

•
x
=
c,
where
c
is
a
constant
for
example,
x
=
,
x
=
−,
x
=
π
•
y
=
mx
are
constants
y
=
x
+
−
c,
where
4,
y
=

m
−
and
x,
c
y
=
for
example,
x
straight
It
line
lia
of
algebraically
Find
a
a
one
•
is
e
is
possible
that
the
euation
might
be
in
a
different
form,
but
a
slope
linear
For
function
example,
can
x
−
x
=


=
y
y
=
always
y
+
=

be
can
arranged
be
into
rearranged
one
as
of
the
three
forms.
follows:
y
A
x
•
ake
y
the
subect
of
−
these

functions
to
decide

x
−


whether

x
they
are
linear
or
not.
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=

can
be
rearranged
to
y
y
x
+
y
=

=

x
=
y
=
y
x

y
x

xy
=
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=
x
x
y
+
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awig
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

y
x
nce
If
gahs
=
x
•
lia

=
you
can,
use
a
graph
plotter
we
linear,
know
we
only
a
function
need
to
is
y
identify
5
to
check
your
answers.
two
points
to
be
able
to
draw
4
the
graph,
straight
two
as
line
gien
there
that
is
only
passes
one
through
3
points.
2
sually,
an
easy
point
to
identify
1
is
the
intercept
Substituting
x
on
=
the

yaxis.
into
the
0
x
1
function
tells
us
the
intercept
1
on
the
yaxis
as
all
points
on
the
2
yaxis
eA
hae
an
xcoordinate
of
.
alue
of

3
e
•
It
helps
to
nd
to
points
in
on
case
you
mista
e.
points
the
If
r
ma
e
the
any
other
x
nd
a
second
point
on
the
line.
4
we
can
nd
the
intercept
5
on
a
xaxis
by
substituting
y
=
.
6
three
ma
e
line
choose
line
the
don’
t
straig
ht
can
three
a
chec
your
For
of
example,
y
=
x
−
to
draw
the
graph
.
calcu
latio
ns
hen
So
0
the
x
=
,
graph
y
=

×
passes

−

through
=
−.
,
−.
hen
x
=
,
y
=

×

−

=
−.
eA
So
the
graph
passes
through
,

−.
• he
n
hen
y
=
,
line
The
=
x

=
x
x
=
.
graph
h


linear
e
for
hs
straig
h t
use
a
passes
through
of
,
ruler
.
.
gadit
straightline
graph
has
the
same
gadit
along
its
B
D
length.
gradient
measure
one
The
grap

coct
entire
The
−
draw
ing
unit
of
a
the
of
gradient
is
straight
gradient
line
of
a
is
a
measure
line
by
horiontal
distance.
calculated
as:
ertical
distance
of
nding
its
steepness.
the
ertical
distance
C
between
two
points

horiontal
distance
between
the
same
two
points
4
A

The
gradient
of

=
=
E


This
tells
us
that
for
eery
one
unit
horiontally,
the
line
climbs
eA

suares
•

gradient
of

=
hen


The

ertically.

=
grad
4

calcu
latin
g
ient
sua
res

line
which
slopes
downwards
from
left
to
right
has
a
by
coun
ting
pay
specia
l
negatie
atten
tion
to
the
gradient.
the
scale
on
aes.
−

The
gradient
of

=
=
−
=
−

−

The
gradient
of

=



The
gradient
of

=
=



and
e


are
aalll,
and
so
hae
the
same
gradient.
n
inear
or
y
Ar
straightline
=
mx
+
c,
graphs
where
m
can
and
c
be
are
written
as
y
=
c,
x
=
c

Find
axes
constants.
y

T
o
draw
a
linear

Substituting
graph,
nd
three
points
and
oin
=

gies
the
intercept
on
the
Substituting
x
=

gies
the
intercept
on
the
arallel
lines
hae
the
same
gradient.
graph
the
of
.
raw
=
the
x
+
graphs

and
of
y
=

−
x.
yaxis.


the
+
on
xaxis.
y

of
x
intercepts
them.

y
=
the
en
Find
the
graph
in
gradient
uestion
of
each



h
uatio
staight
h
LeArnn
uatio
raw
a
graph
gien
li
a
staight
li
the
euation
y
=
x
−
.
the
x
e
euation
of
a
straight
can
Find
line
the
euation
from
a
of
construct
a
table
−
−
−
−




4
−
−


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of
line
alues
•
a
e
onsider
•
of
of
a
for
x
and
y :
y
straight
n
graph
e
y
as
the
left
saw
for
in
is
the
.
eery

graph
how
unit
to
the
of
y
nd
line
=
x
the
−
.
gradient
moes
to
the
of
a
right,
line.
it
The
climbs
gradient

units
here
is
,
upwards.
5
The
graph
The
table
has
a
gradient
of

because
of
the
x
in
,
y
to
dictate
the
euation.
4
shows
that,
as
x
increases
by
increases
by
.
This
is
the
gradient.
3
The
2
effect
passes
of
the
through
−
,
in
the
−.
euation
hen
x
=
is
,
y
=

×

that
−

the
=
graph
−.
This
1
point
0
2
x
1
1
The
is
the
euation
1
graph:
2

straight
the
intercept
yaxis
of
line
at
a
the
straight
with
,
on
yaxis.
line
euation
tells
y
=
us
mx
two
+
c
important
has
facts
gradient
m
about
and
the
crosses
c.
3
awig
e
5
saw
line
staightli
in
.
that
gahs
we
need
to
nd
two
points
to
draw
a
straight
graph.
6
ow
we
can
draw
one
straight
from
the
euation,
using
the
7
intercept
eA
and

Wre
•

ou
can
your
alwa
ys
eam
ple
that
eALe

chec
y
answ
er
y
=


draw
the
graph
of
y
=

−
x:
8
In
the
subs
titut
e
=
y
T
o
by
subs
titut
ing.
into
gradient.

when

to

e
=

chec
=
at
so
know
,
will
with
mark
a
the
cross
the
gradient
point
,
yaxis
of
−,
,
7
and
6
then
.
,
we
it
plot
other
points
one
unit
to
5
the
right
and
represent
a
two
units
gradient
of
down
to
−:
4
A
•
raw
the
graphs
of:
e
oin
the
graph.
the
points
to
complete
3
2


y
=
x
y
=

−

y
=
x
+

1

−
x
0
x
•
For
each
graph,
the
coefcient
check
1
that
1
to
the
the
gradient,
constant
intercept

of
on
is
x
is
and
eual
the
eual
that
to
yaxis.
the
2
idig
e
can
th
easily
gradient
and
Wre
uatio
nd
the
fom
euation
of
a
a
gah
graph
using
the
concept
of
intercept.
eALe

y
onsider
this
graph:
3
The
graph
crosses
the
yaxis
at
−.
2
T
o
nd
the
gradient,
we
take
two
points
on
the
graph.
1
The
gradient,
ertical
distance
between
two
points
0
3

horiontal
distance
between
−
y
the
same
two
2
1
1
points
y

x
1
2


can
be
written
as
gien
two
points
x
,
y

x
−
x

and
x
,
y




3
.

4
The
graph
passes
through
,
−
and
4,
,
so
using
these
5

−

−

points,
the
gradient
=
4
The
the
euation
of
a
−
straight

.

line


is
So
the
gradient
is
4
is
4
gien
by
y
=
mx
+
c,
where
m
is
the
gradient
and
c
is
the
intercept
on
yaxis.


So
the
euation
is
y
=
x
−

4
Ar

hat
is
en
the
gradient
e
of:

n
The
gradient
measure
a
y
=
x
−

b
y
=

−
x
c
x
+
y
=
of
of
a
line
is
a
steepness,

−
y
y



int
for
c:
make
y
the
calculated
subect
as
.
x
−


atch
the
graphs
with
x

y
the

The
graph
of
y
gradient
of
m
=
mx
+
c
has
8
correct
euation:
a
and
crosses
7
y
=
x
+

the
yaxis
at
,
c.
6
y
=
x
+
x
=
y
+

x
+
y
=


5
4
3
2
1
x
0
2
1
1
2
3
4
5
6

rite
down
through
,
the
4
euation
with
a
of
a
gradient
straight
of
line
which
passes
.

8
olvig
oblms
gadit
In
LeArnn
unit
Find
line
the
euation
from
the
of
a
gradient
straight
y
=
Find
line
two
where
that
m
is
the
the
euation
gradient
of
and
a
c
straight
is
the
line
is
intercept
of
on
the
the
can
use
this
to
nd
the
euation
of
a
straight
line
in
a
number
the
euation
from
the
of
a
situations.
straight
coordinates
of

o
d
th
uatio
of
a
staight
li
fom
th
points
Sole
problems
of
parallel
perpendicular
ad
a
oit
inoling
This
gradient
is
best
shown
through
an
example.
and
lines
Wre

straight
T
o
nd
In
the
the
T
o
nd
=
eALe
line
the
,
c,
we
=

o
,
+
c
−
=
.
euation
the
th
,
−
and
passes
through
the
point
,
.
=
+
c,
−x
the
m
+
=
−
the
gradient.
c
euation
passes
through
,
,
so
when
is
y
y
=
=

−x
+
uatio
of
here
two
is
into
y
=
−x
+
c
gies
.
of
a
staight
li
fom
th
oits
similar
to
the
one
aboe,
except
rst
we
 −4,

must
gradient.
Wre
T
o
mx
y
=
=
techniue
nd
is
x
coodiats
The
=
know
c
d
gradient
.

or
y
euation
y

euation:
Substituting
The
has
euation
So
x
nd
eALe
the
euation

of
the
line
that
passes
through
and
:
−
y

y



The
gradient
is
gien
by
−
−
x




=
x
−


=

−4

=




The
euation
is
y
=
x
+
c

e
can
positie
use
either
alues

=

c
=
4
+
,
point
to
:
c

The
euation
is
y
=
x


of
point
gadit
•
c,
and
different
•
discoered
mx+
yaxis.
e
one
we
itct
e
form
•
.
ad
usig
+
4
nd
c
it
might
be
easier
to
take
the
aalll
aalll

and
ad
lis

dicula
must
are
hav
th
lis
sam
B
gadit
perpendicular.
4
The
line

has
gradient
of


The
gradient
of

is
−
.
This
is
the
negatie
reciprocal
4
of
the
gradient
of
.
enerally,
C
if
two
lis
a
dicula
ad
th
gadit


of
o
li
is
m
th
oth
has
gadit
−
m
oblms
ivolvig
Wre

line
has

line
is
nother
Find
eALe
euation
parallel
line
the
is
to
y
y
gadit

=
=
x
x
−
−
perpendicular
euations
A
of

to
these
.
and
y
=
passes
x

through
and
passes
,
.
through
,
.
lines.
olutio
The
parallel
line
will
hae
the
same
gradient
as
y
=
x
−
,
A
which
So
is
the
.
euation
is
y
=
x
+
Try
c.
to
answer
without
It
passes
through
,
,
so
when
x
=
,
y
=
these
drawing
uestions
an
accurate
.
diagram.
Substituting,

=

+
c
=
−
c

The
euation
is
y
=
The
perpendicular
x
line
−

has
a
gradient
of
the
negatie
reciprocal
,
4,
,
−
•

of
,
or
uadrilateral
Find

−

,
the
and
has
,
ertices
−,
euations

of
and
,
,
.


So
the
euation
is
y
=
−
•
x
+
xplain
how
the
euations
c

show
It
passes
through
,
,
so
when
x
=
,
y
=
that

and

are
.
parallel.
Substituting,
•


=

−
+
c
or
c
=

xplain
show

how
that
the

euations
and

are

perpendicular.

The
euation
is
y
=
−

x
+

Ar

line
oins


•
en
,

and
,
hat
e

−.
Find
the
gradient
of

Find
the
euation
the
the

ines
with
the
same
gradient
parallel.
line.

of
is
n
are

shape
erpendicular
lines
hae
line.


gradients

Find
the
euation
perpendicular
to
of
the
the
line
original
which
passes
through
,
,
of
m,
−
.
m
line.


uth
lia
h
LeArnn
etermine
the
length
of
a
line
a
li
sgmt
mathematician
without
thinks
end
of
and
a
li
haing
as
straight,
no
continuing
in
both
thickness.
li
sgmt
is
part
of
a
line.
It
has
a
beginning
and
an
end,
and
coordinates
a
•
of
segment

from
gahs
and
directions
midpoint
of
e
The
•
lgth
otis
Sole
graphically
two
denite
The
euations
in
two
length.
linear
graph
below
shows
a
line
segment
that
runs
from
−,
−
to
,
4.
ariables
hen
we
ertical
were
nding
lengths.
The
gradients
horiontal
in
.,
length
is
we
x
used
−
x

height
is
y
−
y

So,
for
e
this
line
ertical

segment:
the
ertical
also
length
height
use
Wre
these
of
can
the
be
is
is
4

−
lengths
eALe
length
segment
the
and
.
horiontal
The
and
horiontal

the
can

the
−
−
−
to
=
=

.
nd
the
length
of
the
line
segment.

y
line
found
5
by
ythagoras:
4
If
the
length
is
l,
then:
3



+


=
l
2

l
=

+


l
=
l
=
√
1

.
to

0
d.p.
3
2
x
1
1
1
2
3
eA
•

Don’
t
confu
se
the
h
techn
iues
for
ndi
ng
The
lengt
h
and
the
midoit
a

o
nd
line
midpoint
the
lengt
h
to
b
b
you
a
befor
e

o
a
nd
and
b
the
apply
ing
a
by
So
add
of
befor
e
we
The
the
line
need
easiest
nd
line
the
segment
will
xcoordinates
of
hae
the
an
xcoordinate
ends
of
the
line
exactly
segment,
exactly
halfway
between
the
ycoordinates
of
the
segment.
to
the
nd
and
way
mean
to
of
the
number
halfway
a
nd
and
halfway
between
the
number
−
between
and
halfway
4
for
−
and
the
ycoordinate.
between
a

and
for
b
the
is
to
mean
of
b
.
So
the
the

the
ycoordinate
of
xcoordinate,
midpo
int
you
diid
ing
of
between
subtra
ct
ytha
goras.
•
sgmt
from
ends
a
li
segm
ent.
and
•
a
midpo
int
halfway
of
of
the
midpoint
coordinates.
of
a
line
segment
is
found
by
nding
the
x
+
the
midpoint
is
gien
)
−

+

−

this
case,
the
midpoint
is




In
In
unit
simultaous
.
we
saw
how
to
+
4

,
(
,
.

uatios
sole
or
)

olvig
y


(
by
+
y
x


So
a
pair
of
gahically
simultaneous
euations
algebraically.
e
can
also
sole
Wre
T
o
sole
eALe
the
=
x
−

=
x
y
=

−
x
by
drawing
−

has
has
and
a
a
a
graph.

simultaneous
y
y
them
y
=

gradient
gradient
y
euations
−
of
of
10
x

and
−
passes
and
through
passes
,
through
8
−.
,
6
.
4
lotting
the
two
graphs
on
the
same
axis
gies
this
result:
2
The
the
intersection
point
of
where
the
the
graphs
two
where
euations
the
share
lines
the
cross
same
shows
alues.
0
1
So
the
solution
to
the
euations
is
x
=
.,
y
=
1
.
4
e

A
n
The
length
of
a
line
segment
oining
x
,

y

and
x

,
y


aisy’
s
is
electricity
company
lets



√ x
−
x


her

+
y

−
y

choose
T
ariff
+
of
the
line
segment
is
+
y
x

midpoint

(
:
Fixed
euations
can
graphs
euations
and
per
)
week,
the
be
soled
nding
graphically
the
by
coordinates
of

per

k
of
used.
drawing
of
:
Fixed
charge
of
4
the
per
point
plus

T
ariff
of
of

electricity
Simultaneous
charge
y


,


tariffs.

x
The
two



between
week,
plus

per
k
of
intersection.
electricity
T
ariff
y
Ar
en
=
cost

x
has
+
and
an
,
x
used.
is
euation
where
the
y
is
the
number
total
of
k
used.

se
a
graph
and
y
=
to
sole
the
simultaneous
euations
y
=
x
+

T
ariff

−
y
uestions
to
−,

and

has
an
euation
x

are
about
the
line
segment
which
oins
,
.
−
•
=
x
lot
+
the
axes.

Find
the
length
and

Find
the
euation
midpoint
of
the
line
is
segment.
4.
graphs
For
the
what
cost
the
on
the
same
number
same
for
of
k
each
tariff
midpoint
at
right
of
the
angles
line
to
which
the
passes
original
through
the
line.

0
ualitis
olvig
LeArnn
n
•
lia
epresent
the
solution
ineuality
ineualities
notation,
Wre
using
number
There

are
four
sole

−
x
⩽
x
+
−
−
x
⩽
x
+

x
+
x
⩽
x
+


⩽
4x
+

⩽
4x
+


⩽

euation,
except
that
it
tells
us
that
two
less
•
>
means
‘is
greater
•
⩽
means
‘is
less
than
or
we
than’,
so
use:
−
than’,
<
π
so
than
or
eual
eual
to
.
.
>
.
to’,
so
if
x
⩽
,
x
can
be
any
alue
⩾
means
than
+
or
‘is
greater
eual
to

than
and
or
less
eual
than
to’,
so
if
4
>
x
⩾
,
x
is
greater
4.
x
when
−

are
soled
multiplying
multiplying
or
the
or
in
exactly
diiding
diiding
direction
an
of
by
the
a
same
negatie
ineuality
an
way
by
a
as
euations
number.
negatie
e
except
must
number,
aoid
as
this
ineuality.
4x
4x

that
‘is
changes

signs
means
Ineualities
−
an



to
eual.
<
•

not
•
smaller
T
o
similar
are
set
line
eALe
is
of
expressions
linear
iualitis
e
For
example,
−
<

>
,
but
multiplying
both
sides
by
−
gies

⩽
4
x
−4.
ote
that
the
ineuality
has
been
reersed.
4
⩾

So
we
must
make
rstig
e
saw
aboe
sure
a
that
the
unknown
term
is
always
positie.
iuality
ineualities
can
be
soled
in
a
ery
similar
way
to
euations.
The
of
a
main
the
difference
solutions.
uadratic
of
ineuality
does
not
euation
euation
has
euations
an
up
has
to
a
hae
with
two
pair
a
and
one
and
solutions,
single
ineuality
unknown
solutions,
of
an
a
one
solution
has
pair
in
the
one
of
each
instead,
is
it
format
solution,
linear
unknown.
has
a
range
solutions.
e
can
represent
Wre
Suppose
e
8
linear
euation
simultaneous
n

between
can
this
in
eALe
we
hae
sole
this
+
x
+

⩾
x
x
+

⩾

⩾
x
⩽

the
by
a
number
of
ways.

ineuality
splitting
it
x
into
and

+
⩾
two
x
x
x
x
x
solutions
tell
less
or
than
us
that
eual
to
x
is
.
any
real
+

separate
>
and
+
x

The
x

>
−
.
ineualities:
x
−

>
x
−

>
−
>
−.
number
x
greater
than
−.
sing
x
∈
e
st
:
read
greater
e
otatio,
−.
<
this
as
than
could
x
Wre
top
The
lower
So
x
is
an
and
the
arrow
element
less
same
for
the
example
aboe
is
satisfy
8
real
eual
information
x
>
6
both
line
the
or
on
numbers
to
a
such
that
x
is
’.
number
line.

7
number
set
of
than
represents
8
9
solution
represents
arrow
must
the
the
.
eALe
9
ut
‘x
−.
show
The
⩽
−.
x
⩽

5
the
4
conditions.
6
5
circle
circle
3
representation
7
the
is
2
This
is
looks
4
is
lled,
1
true
like
3
empty
because
because
0
1
where
x
cannot
can
2
the
x
3
lines
eual
4
eual
.
.
5
6
7
8
9
10
5
6
7
8
9
10
oerlap.
this:
2
1
0
1
2
3
4
A
eA
illie
of
bought
some
chocolates
er
bag
illie
bag.
is
put
The
that
strong
two
bag
realised
b

•
Sole
She
⩽
this
then
•
rite
to
that,
if
of
She
also
bought
a
to
carry
•
up
to
and
 g
the
in
in
of
•
lemonade
weighs
b g,
or
⩽
a
the
or
ine
ualit
y
use
on
hen
is
then
the
>
circle
the
weight.
bottle
hen
<
weight.
chocolates

box
 g.
lemonade
the
a
lemonade.
⩾
an
is
unl
led
num
ber
line.
ine
ualit
y
use
a
lled
circle
.
.
ineuality.
out
The
down
nd
enough
bottles
took
lemonade.
of
weighed
carried
illie
+
bottles
the
the
bag
an
chocolates
ineuality
range
and
put
in
a
third
bottle
of
broke.
of
to
possible
Ar
en

Sole
the
ineuality
x

Sole
the
ineuality
x
show
this
weights
information,
for
a
bottle
of
and
sole
e
+
4
<
4x
−

.
it
lemonade.
n
n
ineuality
written
+

⩽
x
+

<
x
+
in
set
with
one
notation
unknown
or
shown
can
on
a
be
number
,
line.
writing
your
number
answer
line
in
set
notation
and
as
a

diagram.
Filled
circles
circles

If
y
the
<
y
+
possible

and
integer
4y
+

alues
⩽
y
of
y
−
,
nd
are
are
part
of
the
solution
unlled
not.
all


ualitis
with
two
ukows
Lia
LeArnn
The
•
iualitis
i
two
vaiabls
e
epresent
the
solution
of
ineuality
contains
ineualities
using
a
y
<
x
−
y

linear
two
ariables,
6
graph
and
so
is
best
represented
5
•
raw
a
graph
of
linear
on
a
graph.
4
ineuality
in
two
ariables
First,
we
draw
the
graph
3
•
se
linear
programming
of
y
=
x
−

it
has
an
techniues
2
intercept
yaxis
of
and
−
a
on
the
gradient
of
1
.
y
The
line
y
x
shows
where
0
3
2
x
1
1
6
=
−
.
1
5
n
one
y
x
side
of
the
line,
4
3

other
−

side
and
y

on
x
the
−
3
.
4
2
T
o
1
decide
where
y
which

x
−
side
,
is
5
we
6
select
0
3
2
a
test
point
on
x
1
1
one
side.
,

is
a
good
point
to
use
if
it
is
not
on
the
line.
e
1
substitute
true
3
it
Required
is
then
false
it
in
the
the
side
then
the
gien
with
ineuality.
the
other
If
selected
side
is
the
the
resulting
point
is
reuired
on
statement
the
reuired
is
side.
If
side.
region
4
5
sing
,
y
into
=

,
which
y
<
x
is
−
aboe
,
the
which
line,
we
substitute
x
=

and
gies
6

eA
<

×
This
is
false,
The
or
on
•
a
or
the
>
ine
ualit
y
use
a
do tte
d
is
the
⩾
ine
ualit
y
use
line
use
a
e
can
is
Wre
toy
They
If
they
For
0
and
Sarah
takes
takes
can

<
<
x
−.
−

is
on
the
other
side
of
the
line.
so lid
each
make
Sarah,
x
the

Thomas
total
of
the
region,
as
y
cannot
eual
for

to
up
and
time
2x
−
,
line.
the
region
y
<
x
−

by
shading.
ogammig
line.
two
minutes
planes
part
ogammig
is
a
method
of
soling
problems
ineualities.

make
work
not
is
Lia
a
eALe
plane
Thomas
or
y
indicate
graphing

so
dotted
Lia
Thomas
,
line
grap
h.
hen
⩽
−

• he
n
<

y
is
different
minutes
assemble
to

hours
boats,
x
the
+
types
to
a
toy.
assemble,
boat,
or

total
y
of
⩽
and
and
Sarah
Sarah
spends
takes


minutes
minutes
to
painting
paint
minutes.
time

for
Thomas
is
x
+
y
⩽

it.
it.
by
so
we
T
o
draw
the
graphs:
Thomas
x
If
x
=
+
,
y
Sarah
y
=

x
+
y
=



If
+
=
y
=

y
=



+
,
y
=

y
=
4
4

x
,
+

=

x
=

x

+
,

=

x
=


The
rawing
the
each
they
toy
graphs
can
shows
the
number
of
lines
they
make.
the
show
work
the
unwanted
y
the
full
maximum
number
regions
to
of
number
hours
leae
the
they
aailable.
possible
25
25
20
20
15
15
10
10
5
5
0
x
0
5
possible
.
ne
plane
prot
15
numbers
of
these
they
for
sell
each
x
20
they
can
ertices
makes
ertex
0
make
are
represents
them

in
a
the
prot,
uadrilateral
optimum
and
eery
5
with
best
boat
makes
them
,


planes


=
,

boats
at

=
.
T
otal
prot
=


planes


=
,

boats
at

=
4.
T
otal
prot
=
4
,
:

planes


=
,

boats
at

=
.
T
otal
prot
=


planes


=
,

boats
at

=
.
T
otal
prot
=

:
maximum
a
prot
they
make

planes
and

en
graph
to
show
n
⩾
a
graph,
−
and
show
x
+
region
region
⩽
ananas
cost
,
and
the
.
rite
y
⩾
x
−
.
where
y
>
number
can
of

and

Solid
lines
are

pineapples
cost
an
bananas,
ineuality
.
b,
and
to
are
part
of
the
solution
dotted
not.
,
.
down
,
n
hen
linear
programming,
regions,
so
the
shade
clear
the
part
is
the
I
solution
hae
,
boats.
e
the
the
y
,
prot.
:
se
I
,
is:
unwanted

at
20
:
for
x
ertices
15
result.
lines

10
,
Ar

10
,
,
So
get:
Thomas
0
The
shade
we
30
Thomas
ery
we
region,
if
Sarah
30
,
If
make
y
Sarah
The
can
set.
show
pineapples,
p,
buy.


omosit
ad
ivs
fuctios
omosit
LeArnn
ein
•
erie
fuctios
e
composite
and
aria
are
operating
two
function
machines.
functions

ein’
s

e.g.
•
g,
State
the
function
•
erie
relationship
and
the
its
between
inerse
inerse
aria’
s
The
,
carries
out
the
function
x
=
x
+

machine
output
carries
from
out
ein’
s
the
function
machine
is
fed
gx
into
=
x
−
aria’
s

machine.
function
So


machine

if
ein
inputs
,
his
output
is

g


=

+

=
.

•
aluate
 a,

a,
ga,

g
•
se
This
a
the
er
relationship

g

=
g
is
fed
into
output
is

e
hae
input
So
the
=

used
for
×
oerall

 x
aria’
s
as
−

=
.
the
machine.
effect
of
both

machines
• In
machine.

g
eA
aria’
s
gf  
f  
calcu
lated
resul
t
put
into
we
is
rst
and
g .
the
write
hen
is
as
two
can
which
g x.
functions
comosit
e
g  x,
are
combined
in
this
way,
they
are
called
fuctios
replace
the
gx
=
x
gx
=
x
composite
−
,
function,
g x,
with
a
single
function:
so

−

=
x
=
x
=
x
+

−


+

−

−


gx
e
can
check
that
g
=
:

g
If
we
=

connected
ein’
s
−
the
machine,

=

machines
we
would
so
get
a
that

gx
=
gx
aria’
s
different
output
was
fed
into
output:

+

=
x
−

+


=
4x
−
x
−
−
x
x
+

+


gx
fg(x)
is
=
ot
4x
ual
to
+

gf(x).
In
general,
composite
functions
are
not
commutatie.
vs
In
the
For
So
of
aboe
example,
x
x
will
as
function

fuctios
example,

not
the
will
=
hae
x
−
an
is
=
also
many–one
be
function.
.
inerse
nonnegatie
then
a
real
the
function
unless
numbers.
The
nonnegatie
we
dene
codomain
real
the
of
numbers.
domain
the
inerse

T
o
nd
the
inerse
of
x,
written
as


x:
Similarly,
to
nd
x:
g

rite
x
as
y
=
x
+

gx
is
The
inerse
is
x
=
y

=
y
y
=
represented
+
g

x
x

r
x
−
is
+
x
=
y

=
y
y
=
x
_____
√
as
y
=
x
−
,
so


x
−
−
+





_____
x

So

x
x
−

g
x
+



√
=
=


T
o
nd
the
inerse
of
g x,

rst,
so
g 

x
The
inerse
of
The
function
a
=
and
its

x
gx
hae
to
nd
effect
of
the
g
x
x
undoes
inerse
are
the
original
function.
commutatie.

=
uaig
If
would

g
function

So

we
=
x

a
−
x
=
x
A
fuctio
,
then
ggx
=
gx
−

=
x
−

−
=
4x
−

•

W
wit
gg(x
as
g
If
x
gx
x
=
=
x
x
functions
their
olvig
oblms
usig
ivs
−
+

,
on
and
match
the
euialent
left
the
with
function
on
fuctios
the
right:

e
can
sole
idtity
o
problems
by
using
the
fact
that
f
fx
is
ual
to
th

x
+




x
4
Wre
eALe


g
Suppose
x
=
x
−

and
gx
=
x
+
,
and
we
want
to
nd
x
4x
+

4x
+

gx.

gx
=
x
+
,
so,
operating


on
both
sides
by

x
gx

gx
=

x
+
.
x

x
=
,
the
identity,
+


gx

ut
so


gx
=

x
+
.

x
g
x
is
represented
by
y
=
x
−
,
so
=
y
x
+
−

4x
−





4x
x
is
represented
by
x
−
,
or
y
=

g
x

x




+
x
=
,
so

=
x

x
x

+

+


x


gx
+

=
+
−


x



=


x

g
−


x
4
Ar
en
x
−



If
x
=
e

,
nd


x.
n
gx
means
apply
function
g

followed
by
function
.
x


If
x
=
−

and
gx
=
x
+
,
nd
gx.
−


x
is
the
inerse
function

hat
does
your
answer
tell
you
about
x
and
of
gx
x.
−



x

g


−
x
=
g

−
x
=
x

a
hat
alue
b
hat
is
of
x
must
be
excluded
from
the
x
=
x
domain

special
about

x


LeArnn
uadatic
awig
uadatic

function
fuctios
gahs
e

•
raw
graphs
of
uadratic
T
o
functions
•
se
graphs
to
nd
y
•
se
graphs
to
nd
all
gien
plot
such
•
se
of
x
gien
graphs
to
nd
of
the
alue
function,
x
a
graph,
from
raw
and
wish
−4
and
−
x
+

is
not
linear.
need
to
calculate
a
number
of
alues.

to
to
draw
the
graph
of
y
=
x
−
x
+

for
alues
4.
construct
axis
of
a
table,
showing
each
part
of
the
euation
on
a
the
line:
symmetry
x
•
we
eALe
we
separate
of
x
minimum
e
euation
=

Suppose
or
a
y
possible
y
maximum
of
as
x
Wre
alues
such
uadratic
interpret
graphs
4







4


4


of
emember
uadratic
functions
to
nd


x
the
interal
which
in
the
elements
domain
of
the


4

for
x
cannot
range

4
x
may
be
>
or
<
a
be
negatie
gien







4
The
+








4
=
=
−4
4
4
point

constant

term

y
=
x
The
x

+

has






alues
plot
it
from
will
the
−4
drop
points
to
a
4,
little
and
oin
and
y
has
below
them

alues
when
with
a
from
we
sum
of

the
although
e



draw
smooth
to
three
parts
,
the
graph.
cure.
y
25
20
15
10
5
0
5
There

is
a
4
symmetry
3
to
2
the
1
graph,
x
1
which
2
can
3
also
4
be
5
seen
in
the
table.
The
axis
of
symmetry
is
the
line
x
=
.
eA
The
minimum
x
.
alue
is
found
on
this
axis
of
symmetry,

where
• u
adra
tic
=
cur e
s.
n
x
accurate
=
.
alue
into
the
of
this
minimum
=
be
found
by
substituting
points
euation:
•

y
can
x
−
x
+

=
.
−
.
+

=
.
grap
no t
with
uad
ratic
alwa
ys

Do
a
a
hs
are
oin
the
ruler
.
grap
hs
are
Ush
ape.
If
the


term
U
radig
valus
e
can
use
the
the
range
For
example,
fom
graph
a
shown
is
is
nega
tie
the
inerte
d.
gah
to
match
elements
of
the
domain
 x
to
y.
A
when
corresponding
x
alue
=
of
.,
y,
we
can
which
is
follow
the
red
line
to
nd
the
4..

raw
T
o
nd
elements
in
the
domain
which
map
to

in
the
range,
the
taking
the
green
arrows.
The
alues
of
x
are
−.
and
.
to

graph
of
y
=
x
−
x,
follow
alues
of
x
from
−
to
4.
decimal
n
the
same
set
of
axes,
draw
place.
the
graph
of
y
=
x
−
.

This
tells
us
that
the
solutions
to
the
euation
x
−
x
+

=

are
•
x
=
−.
and
x
=
.
to

decimal
hat
are
the
xcoordinates
of
place.
the
points
of
intersection


o
solv
th
iuality
x
−x
<

•
earrange
the
euation

First,
add
euation

to
of
both
the
sides
so
that
the
lefthand
side
matches
the
x
graph:
−
x
=
righthand
x
−

side
so
=
that
the
.

x
−
x
+

<
•

From
x
=
The
the
..
This
graph
below
e
line
to
solutions
shown
y
the
that
=

by
the
the
is
x
is
−
orange
region
the
ineuality
to
part
x
+
line
where
<
x
y
<
=
on
between
−.


the
<

are
=
−.
uadratic
your
euation
answers
to
and
the
points
of
the
graphs.
intersection
of
graph.
the
these
x
the
compare
part
of
solutions,
the
so
cure
the
..
n
T
o
draw
term

is
the
shows
the
solution

graph,
Sole
and

ou
a
uadratic
separately
can
use
and
the
graph,
then
graph
to
start
add
with
them
read
a
table.
alculate
each
up.
intermediate
alues
and
sole
ineualities.
Ar
en


raw
to
the
graph
of
y
=
x
+
x
−
,
taking
alues
of
x
from
−
.

se
your
graph
to
nd
the

se
your
graph
to
sole
alue
of
y
when
x
=
..
x
−


the
ineuality
x
+
<
.


o
gahs
of
fuctios
h
LeArnn

•
stimate
gadit
the
gradient
at
uadratic
Find
the
intercepts
of
a
Sole
at
a
oit
graph
is
cured,
changing
as
we
and
so
moe
the
along
steepness,
the
or
gradient,
is
graph.
uadratic
estimate
the
gradient
of
a
cure
at
a
point,
we
draw
a
tagt
function
at
•
cuv
point
T
o
•
a
a
constantly
gien
of
e
that
point.

tangent
is
a
line
that
ust
touches
the
cure
without
euations
passing
inside
the
cure.
graphically
e
•
Find
the
axis
maximum
of
a
of
or
minimum
uadratic
then
nd
the
gradient
of
the
tangent.
symmetry,
in
the
alue
form
ere
is
the
graph
y
of

y
=
x
−
x
−
.
6

ax
+
h
+
k
T
o
•
Sketch
the
graph
of
nd
where
uadratic
in
the
the
gradient
5
a
x
=
−,
we
4
form
draw
the
tangent
at

ax
+
h
+
k
and
determine
that
the
number
of
point,
shown
3
in
roots
green.
2
•
raw
and
interpret
the
graphs
The
of
other
nonlinear
red
(
y
=
show
1
that
a
lines
functions
the
tangent
has
a

=
 y


y
=

x
ax
)
a
ertical
drop
of
0
x
x
1
−4
and
length
a
of
1
horiontal
,
so
at
2
x
=
of
−
the
the
gradient
cure
is
3
−4

=
−4.

oints
called
h
A
where
the
tuig
tangent
is
horiontal
hae
a
gradient
of
.
These
are
oits
itcts
of
a
cuv
with
th
as

The
•
Sole
the
linear

x
−
the
x
−
=
formula
to

by
hat
are
y
graphs,
these
=
x
solutions
found
the
the
−
x
−
constant
,
crosses
term
the
indicates
y
axis
the
at
,
−.
intercept
on
s
the
with
yaxis.

The
to
where
y
the
=
uadratic
euation
x
−
x

=

can
be
.
adantages
These
and
of
using
check
solutions.
•
graph
euation
disadantages
are
the
x
coordinates
where
the
graph
crosses
the
x
axis.
of

soling
uadratic
graphically
euations
So,
x
reading
=
−.4
from
and
omltd
x
the
=
graph,
the
solutions
to
x
−
x

=

are
.4.
sua
fom
ad
sktchig
uadatic
cuvs

riting
the
euation
y
=
x
−
x
−

in
completed
suare
form,
we

get
y
=
x
ompare
−

this
−
to
.
the
minimum
point
of
the
graph,
,
−.


The
minimum
and
the
This
allows
axis
alue
of
us
of
the
symmetry
to
sketch
euation
is
the
cures
line
y
x
=
a
+
drawing
up
=
without
x
+
b
is
at
−a,
b,
−a
a
table
of
alues.
y
Wre
eALe


T
o
sketch
The
the
graph
intercept
on
of
the
y
=
x
yaxis
+
is
at
4x
,
+
:
.

The
coefcient
of
x
is
positie
so
it
has
a

shape.

In
completed
the
suare
minimum
alue
form,
is
at
the
−,
euation
,
and
is
the
y
=
x
cure
+
is

+
,
so
5
symmetrical
(
about
the
line
x
=
2,
1)
−.
x
So
the
graph
will
look
like
the
graph
shown
opposite:

The
euation
does
not
x
cross
+
4x
the
+

=

has
no
solutions,
as
the
graph
A
xaxis.

The
will
th
cuvd
In
we
no
gahs
•
.,
drew
graphs
by
constructing
a
euation
not
x
+
factorise,
4x
as
+

=
there

are
solutions.
se
the
completed
suare
table.

form,
The
same
techniue
can
be
applied
to
draw
the
graphs

x
,
y
=

+
=
what
happens
,
to
when
you



=
+
of
see
y
x

,
y
try
=
to
sole
the
euation
by

x
x
completing
x
−4
−
−
−
−4
−
−
−
−.
−.
−.
−
can




4




4

.
.
.
you
the
tell
suare.
there
are
ow
no
solutions

x


x
A


.
.
.


.
.
.

•
x
raw
the
check

=
accurately
sketches
to
aboe.


y
graphs
the

and
y
=
are
not
dened
when
x
=
.

x
The
x
graphs
look
like
this:
1
3
y
=
x
y
1
y
=
=
x
y
2
x
eA

y
ear
n
grap
x
e

x
shap
Ar
gradient
of
a
cure
at
a
point
is
es
of
these
hs.
x
n
The
the
estimated
from
the

rite
en
down
the
intercept
on

gradient
of
the
tangent
at
that
point.
the
yaxis
of


The
graph
intersect
of
the
an
euation
yaxis
at
,
in
the
form
y
=
ax
The
graph
of
an
bx
+
c
will

c.
euation
in
rite
point
at
−h,
form
y
=
ax
+
h
uadratic
suared
graphs,
graphs
cubic
each
x
−
4x
+
.
x
+
k
has
−
4x
suare
the
+

in
form,
coordinates
and
of
a
minimum
point.
k.


=
identify
the
turning
y
completed
the
=

+


y
graphs,
hae
their
reciprocal
own
graphs
identiable
and
reciprocal
shape.
Sketch
the
graph
of

y
=
all
x
the
−
4x
+
,
intercepts
identifying
on
the
axes.


avl
It
LeArnn
is
often
useful
raw
time
•
and
time
interpret
and
draw
graphs
of
ourneys,
as
we
can
read
them.
istac–tim
interpret
graphs
distance
from
distance–
graphs
raw
to
e
information
•
gahs
to
arsha
speed–
isit
determine
time
lies
her
in
aunt,
gahs
renada.
a
distance
She
of
traels
from
Sauteurs
to
renille
to
 km.
speed
She
cycles
for
an
hour
and
a
half
at
 kmh,
and
then
nishes
the
acceleration
ourney
She
at
 kmh.
returns
emember
home
the
She
at
a
stays
with
constant
triangle
from
her
aunt
speed.
for
The
an
hour
ourney
and
takes


minutes.
hours.
.:
D
ere
is
the
information
about
arsha’
s
ourney
in
a
T
S
table,
scitio
im
.
.
Start
ourney
.
Finish
ourney
.
Stays
.
eturn
with
with

hour

hours
÷

speed
information
hour
.
• A
is

hour
s
useful
to
tae
unit
minut
es
no t
.
hour
is
hour
s.
can
be
fo r

time

=
=
 kmh
 km
 kmh
 km
 kmh
to
a
graph:
18
16
14
12
10
8
6
4
2
0
1
2
time
sua
res
−
transferred
0
scale

is
ecnatsiD
metr
ic
.
×
d
 km
morf

a
time
calculated.
 km
emoh
no t
that
=
min

Rem
embe
r
times
Speed
)mk(
•
and
hours
The
eA
distances
istac
istance
aunt
missing
3
T ime
4
5
(hours)
fo r



The
hour

sua
and
re
is
then

rst
part
of
minut
es.
h
gadit
hen
arc
from

8
is
a
eALe
skydier
.
 ms
to
seconds
e
 ms
later,
he
graph
has
a
gradient
of
=
 kmh.
.
of
d–tim
Wre
the
each
speed
is
a
distactim
gah
sts
th
sd
gahs
constantly
changing,
a
speed–time
graph
is
more
useful.

umps
after

opens
from
a
plane
seconds.
his
e
at
has
parachute.
an
altitude
then
is
of
reached
speed
 m.
terminal
immediately
is
speed
elocity
,
drops
towards
and
to
a
falls
earth
at
a
constant
increases
constant
 ms
steadily
speed.
until
he
lands.
arc’
s
speed–time
graph
looks
like
this:
70
The
rst
section
of
the
graph
shows
a
steady
60
increase
in
speed.
This
is
called
acclatio
)s/m(

cceleration
second
measured
per
in
ms
,
read
as
‘metres
deepS
per
is
second’.

arc’
s
acceleration
is
 ms
,
because
50
40
30
eery
20
second
his
speed
increases
by
 ms.
10
This
is
the
gradient
of
the
graph.
0
0
h
gadit
of
a
5
10
15
T ime
gah
e
For
know
the
This
is
that
distance
freefall
the
during
section
area
h
So
sts
of
aa
the
base
×
the
rst
th
=
of
a
speed
the
height
is
stop,
a
a
of

×
is
 ms
the
graph.
gah
distance
×
tlls
traelled
is
us
the
 s
=
th
 m.
distac
area
of
the
tavlld
green
triangle,


=
4 m.

en
graph
gets
that
section
the

ere
time.
graph,
=
Ar
×
sd–tim
stage,

25
(seconds)
acclatio
yellow
ud
20
sd–tim
of
bus
A
dward’
s
and
then
ourney
walks
the
to
work.
nal
e
walks
to
the
bus
•
part.
se
the
how
)mk(
16
far
graph
arc
emoh
morf
◦

second
◦

seconds
◦

seconds
◦
4
seconds
◦

seconds
◦

seconds
◦

seconds
to
calculate
had
fallen
after
14
12
10
ecnatsiD
8
6
•
se
this
information
to
draw
4
a
distance–time
graph
of
the
2
rst
0
0
10
20
30
40
T ime
50
60
hat

n
is
the
aerage
speed
of
part
of
the
ourney
the
bus
in
the
did
he
walk
faster
to
the
bus
obin
is
descent.
graph
n
The
gradient
graph
of
a
distance–
shows
the
speed.
bus
running
in
the
 m
race.
e
accelerates
from
The
gradient
 ms
in

seconds.
e
maintains
a
speed
of
 ms
of
a
speed–
 ms
time
to
his
or


of
your
kmh
time
from
is
70

which
seconds
shape
(minutes)
e


hat
graph
shows
the
for
acceleration.

seconds,

seconds.
Show
how
this
far
and
then
starts
slow
down,
so
that
he
stops
in

information
he
to
runs
on
a
altogether.
speed–time
graph,
and
calculate
The
area
graph
under
shows
a
the
speed–time
distance
traelled.

odul

upert
is
has
sister
Their

actic
n

ucinda
brother
has
dward

more
has
than
twice
as
upert.
much
am
atch
on
the
the
ustios
relations
on
the
left
with
the
types
right.
as
rlatio

y
ucinda.
ow

If
a
much
=
,
b
money
=
−
do
and
they
c
=
hae
4,

altogether
nd
the
alue
y
=
x
−
y
=
x
ne–one

+
any–one


a
−
b

y
√
=
x
−
ne–many

of
c
x
x


The
b

a
Find
=
x
operation
ab
−
is
dened
by
a
Find
the
alue
of


b
Find
the
alue
of


c
hat
xplain
a
raw
b
your
answers
tell
you
about
xx
−
−
of
the
function

why
the
inerse
is
not
a
function.
axes
for
raw
from
−
to
4
for
x,
and
−
to
y
the
graphs
of
y
=
x
−

and

y
xpand
inerse
x
b

do
=



the


binary
a

+


+

Simplify
c
y
=
se
x
+

your
graph
euations
y
=
to
x
sole
−

the
and
simultaneous
y
=
x
+



Factorise

ake
fully
x
+
x
−





the
subect
of
the
formula
the
passes
euation
through
of
the
−,

straight
and
,
line
that
−.

=

+
a
8
8
Find
Sole
the
euation
x
−

=
x
+

line
goes
from
−,
−
to
4,
.
Find:

a
the
length
of
b
the
midpoint
the
line


Sole
the
euation
x
−
x
+

=

by
−
4x
−

=

by
of
the
line.
factorisation.

raw
axes
from
−
to
4
for
x,
and

to


0
Sole
the
euation
completing
the
x
for
suare.
y
ark
and


Sole

the
simultaneous
a
+
b
a
−
b
=
rectangular
w m
The
0
4
x
Find
garden
is
l m
long
x
length
+
w
=
x
+

and
gx
=
x
by
−
a

b
g−
and
width
are
connected
by
the
c
gx
d

x
>
,
y
>


a
raw

=
x


+
w
the
aries
hen

=

length
x
directly
=

and
width
of
the
,
y
as
=
the
suare
of
x
when
the
alues
garden.
y
se
of
your
when
x
graph
x
from
graph
=
of
y
=
x
−
to
.
to
nd
−
the
x,
taking
alue
of
y
−.
.
c
alculate
y
=
stimate
.
x
0
contained
x
and
b

−
wide.

l
region

Find:
euations
l
⩽
euations

=
the
y
=
.
the
gradient
at
the
point
where

atch
the
graphs

x
to
their
euations:



a
y
=
–
b
y

=
c
y
=
x
−


x


y

y
y
x

ere
is
a
x
speed–time
graph
of
ina’
s
x
race.
10
9
8
)s/m(
7
6
deepS
5
4
3
2
1
0
0
5
10
15
T ime

a
alculate
b
Find
The

the
mass
coin
ina’
s
total
of
with
a
acceleration
distance
coin
aries
diameter
ina
oer
the
rst

seconds.
ran.
directly
. cm
20
(seconds)
has
with
a
the
mass
suare
of
of
the
of
y
diameter.
 g.
alculate:
a
the
mass
of
a
b
the
diameter
coin
of
a
with
coin
a
diameter
with
a
mass
of
 cm
of
 g.


alculate
the
points
of
intersection
of
the
graphs
=
x
−

and
x

+
y
=
.


4
Geometry
vectors
1
&
&
trigonometry
and
matrices
Pptis

lis
ad
als
Pits
LeArnIng
ad
• A
• nderstand
the
terms
pit
ray
,
line
segment,
intersecting
that
it
does
lines,
acute,
right,
plane,
solid
face,
and
li
angle
measure
properties
opposite,
is
a
angles
problems
ay
• A
li
using
is
straight,
smt
has
to
no
see
size.
it,
so
Of
course
when
we
this
mark
a
size,
but
mathematically
we
assume
it
a
has
no
height.
continues
in
both
directions
without
end,
and
apart
has
is
a
start
part
of
a
point
line;
but
it
continues
has
a
to
innity.
beginning
and
end,
and
a
length.
• Paalll
vertically
alternate,
point,
or
straight,
lis
along
are
their
lines
that
entire
are
length,
the
same
and
so
perpendicular
never
distance
meet.
cointerior
,
• Itscti
at
but
able
thickness.
denite
geometric
have
width
no
• A
accurately
• olve
be
edge,
verte
• raw
position
not
obtuse,
has
ree,
would
curve,
• A
angle
denite
lines,
length,
perpendicular
a
we
parallel
point
lines,
has
point,
means
line,
lis
ooe
complementary
lis
are
lines
that
meet
at
a
common
point.
and
• Ppdicula
supplementary
• A
cuv
is
a
lis
meet
smoothly
at
right
owing
line
angles.
with
no
sharp
changes
in
direction.
Als
An
al
Angles
is
are
a
measure
commonly
of
the
turn
measured
from
in
one
degrees.
direction

to
degrees
another.
°
make
o
a
full
turn,
so
°
is
a
half
turn
and

is
a
uarter
turn
or
iht
al
Acute
less
e
ight
than
°
=
°
to
use
a
protractor
measure
rotractors
have
two
clockwise
other
t
Obtuse
greater
than
°,
less
than
°
is
the
angles.
usually
scales,
and
one
the
anticlockwise.
important
correct

o
measure
of
the
centre
zero
an
zero
this
line
use
angle,
lines
mark
he
to
scale.
is
scale
eactly
in
place
eactly
the
the
protractor
coincides
on
the
with
on
one
the
arm
angle
of
the
132
than
°
is
an
illustration
anticlockwise
that
one
and
the
verte.
is
the
inner
scale,
and
ee
greater
so
angle,
turn.
he
angle
is
°.
to
turn
from

o
measure
part
n
of
the
he
the
a
ree
A
full
of
half
is
angle,
turn,
angle
at
turn
sum
ree
illustration,
Als
A
a
full
a
and
the
=
obtuse

−
pit
°,
so
instead
subtract
angle

ad
angles
measure
your
=
is
remaining
from
°.
°.
°.
als
that
the
answer
make

up
a
a
staiht
full
turn
li
have
°.
turn,
or
°
angle,
makes
a
straight
line.
AII
e
can
ook
at
use
these
these
facts
to
calculate
missing
angles.
• A
diagrams.
full
turn
angles,
b
is
twice
three
d
130°
110°
is
a

a
+
the

+
 =

a
+
 =

b
+
 =
ve
b
=
=
size
the
full
into
and
times
d,
of
size
the
of
four
so
a,
of
is
of
two
ppsit
lines
cross,
a
split
in
the
ratio
ind
the
size
of
angle.
full
turn
is
split
°
nine
angles
in
the
ratio
ind
als
the
are
and
angle.
                .
hen
is
°
into
tically
that
c
a,
size
each
turn
angles
• Another
a
the
        .

each

split
c
size
• Another
into
is
b,
times
four
ind
b
a,
the
angles
opposite
each
other
at
the
size
of
each
angle.
verte
eual.
hey
are
called
vtically
ppsit
angles.
a
Angles
a
and
c
are
Angles
a
and
b
eual,
and
angles
b
and
d
are
eual.
c
called
wo
add
up
to
supplmtay
angles
that
add
°.
wo
angles
that
add
up
to
°
are
als
up
to
°
are
called
cmplmtay
als
Ar
e
PoIn
1
A
point
2
A
line
eIon
x
y
has
has
a
no
denite
ends,
a
location
ray
has
but
one
no
end
48°
size.
and
a
line
segment
has
63°
two
ends.
z
3
arallel
lines

Angles
can
never
meet,
perpendicular
lines
meet
at
right
angles.
1
and

°
Angles
to
at
be
or
a
acute
ree
point
<
>
sum
°,
right
°,
obtuse
between
to
°,
angles
on
a
straight
line

omplementary
add
up
opposite
to
°.
angles
x,
y
and
z
is
a
ree

c
obtuse
acute
sum
2
ertically
of
°.
°.

hich
°
angles
angles
are
add
a
eual.
up
to
°.
alculate
upplementary
angles
3
the
x
plain

the
between
a
size
of
angle
y

z
difference
line
and
a
ray.
133
2
Paalll
spdi
LeArnIng
geometric
problems
alternate,
corresponding;
parallel,
lines
are
identied
on
a
diagram
with
arrows.
using
A
angles
als
ooe
arallel
• olve
lis
tasvsal
is
a
line
that
crosses
a
pair
of
parallel
lines.
adacent,
cointerior;
he
transversal
creates
four
pairs
of
cspdi
als
transversal
orresponding
angles
are
pairs
of
angles
in
similar,
or
corresponding
positions.
ou
can
imagine
orresponding
n
the
are
angles
diagram
marked
in
on
although
down
back
on
transversal
of
are
angles

of
on
are
to
the
other.
eual.
corresponding
angles
an
upside
lines
the
of
parallel
the
make
might
creates
two
Alternate
lines,
transversal.
a
shape,
be
back
to
front
stretched.
ecause
of
the
rotational
symmetry
of
the
IP
diagram,
no t
assu
me
paralle
l
ques
tion
If
you
to
give
your
sides
the
lines
make
be
als.
between
alternate
although
or
parallel
altat
Alternate
•
might
A
on
are
it
pairs
pair
front.
als
angles
Do
to
the
colour.
always
Altat
pairs
•
angles
of
parallel
left,
same
shape,
or
one
on
the
the
orresponding
eA
sliding
are
angles
on
parallel
lines
are
eual.
lines
unles
s
tells
alternate
the
iti
als
you.
n
the
diagram
aske
d
reaso
ns
answ
er
,
fo r
use
the
a
=
b
alternate
b
+
c
=
°
angles
angles
on
on
parallel
a
lines
straight
line
a
co rrec
t
mathe
matica
l
o
vocabu
lary.
•
If
a
you
are
calcu
late
mus
t
no t
aske
d
an
+
angl
e,
must
eual
b
°.
c
measu
re
Angles
like
a
and
c
inside
a
pair
of
you
parallel
lines
and
on
the
same
side
of
it.
the
are
13
c
to
transversal
called
are
supplementary,
cointerior
angles.
hey
and
make
a
like
shape.
lvi
B
plms
E
n
comple
n
the
diagrams,
diagram,
the
we
use
angle
of
three
°
is
letters
called
to
identify
angle
A
an
or
angle.
A.
A
D
magine
drawing
the
angle
with
a
continuous

,
we
movement;
you
53°
would

draw
from
indicates
the
A
to

verte
to
where
so
the
name
angle
it
is.
A
.
he
he
rst
middle
and
last
G
letter
pairs
of
F
C
letters
the
A
arms
Angle
and
of
the
need
to
any
angles
show
reuire
calculate
you
ore
the
lines
which
calculate
angle
correct
other
eAPLe
calculate
the
surround
the
angle.
hey
are
H
angle.
problems
you

o

angles
on
the
choice
along
of
the
angle
way.
fact.
t
ometimes
helps
to
write
diagram.
AII
1

in
the
diagram
A
above
parallelogram
pairs



A
=

=
°
orresponding
angles
on
parallel
of

+

=
°
Angles
on
a
straight

=

−

−

=
that
the
angles
add
the
opposite
up
• rove
°.
that
angles
eual.
PoIn
1
he
2
orresponding
an
angle

A
Alternate

ointerior
of
the
make
the
angle
angles
angles
on
angles
transversal.
a

Ar
the
is
on
at
,
between
parallel
lines
are
A
and
eual.
.
hey
make
shape.
3
se
two
°.
are
e
of
line
to

consists
lines.
lines
• rove
+
parallel
parallel
are
lines
inside
are
the
ointerior
eual.
parallel
angles
are
hey
lines
make
on
the
a

shape.
same
supplementary.
side
hey
shape.
eIon
diagram
to
answer
these
B
uestions.
C
A
1
hich
angle
is
alternate
to
2
hich
angle
is
cointerior
3
f
D

with

E
angle
a


=
°
and



=
°,
calculate
c
angle
G
F

H
13
3
Pptis
ad

tials
uadilatals
ials
LeArnIng
ooe
A
A
• nderstand
properties
euilateral,
of
x
is

properties
uadrilaterals;
D
triangle.
etended
or
pducd
to
.
right,
isosceles
• nderstand
a
of

triangles;
is
suare,
is
e
drawn
know
A
=
parallel
to
A.
angle
A
=
x
x
y
z
y
alternate
E
rectangle,
rhombus,
parallelogram,
kite,
angles
geometric
congruent
similar
B
lines
C
A
=

=
y
corresponding
angles
on
parallel
lines
problems
he
using
parallel
trapezium
And
• olve
on
three
angles
at

A,
A
and

show
that
triangles,
x
gures
o
the
he
+
angle
z
=
can
of
and
in
any
have
angles
angles
°
angles
sum
acute
acute
+
three
riangles
two
y
angles
the
an
a
scal
different
is
acute
right
obtuse
Acute-angled
• A
a
triangle,
triangle
three
and
on
x
straight
+
y
+
line
z
=
°
°.
angles
angle
angle
an
a
acutald
ihtald
an
tusald
Right-angled
triangle
has
all
sides
of
tial,
tial
or
two
tial.
Obtuse-angled
different
length
and
all
angles
sizes.
• An
isscls
triangle
• An
uilatal
has
triangle
two
has
eual
three
sides
eual
Scalene
and
sides
two
and
eual
three
angles.
angles
Isosceles
of
°.
Equilateral
uadilatals
uadilatals
uadrilaterals
the
angle
sum
can
of
uadrilaterals
hese
properties
may
perpendicular.
foursided
be
all
ome
diagonals
13
are
split
two
uadrilaterals
have
include
be
into
shapes.
eual,
special
eual
they
triangles
is

×
by

a
=
diagonal,
and
so
°.
properties.
sides
may
and
bisect
eual
each
angles.
other,
heir
and
they
may
be
he
table
below
lists
those
shapes
and
their
hap
properties.
ids
uare
All
sides
Als
eual.
Opposite
sides
All
four
angles
=
iaals
iagonals
°
parallel.
eual,
bisect,
perpendicular.
ectangle
hombus
sides
eual.
Opposite
sides
parallel.
All
a
sides
four
angles
=
iagonals
°
eual,
bisect.
eual.
Opposite
Opposite
sides
parallel.
angles
eual.
iagonals
bisect,
Opposite
sides
eual.
Opposite
sides
parallel.
perpendicular.
a
a
Opposite
angles
eual.
iagonals
bisect.
iagonals
eual.
b
a
b
rapezium
One
pair
sides
sosceles
All
b
b
arallelogram
Opposite
One
a
a
trapezium
of
opposite
parallel.
pair
sides
of
opposite
parallel,
the
wo
other
pairs
Opposite
of
eual
angles
angles.
supplementary.
b
pair
ite
eual.
wo
pairs
adacent
a
of
eual
One
pair
of
angles
eual.
One
sides.
diagonal
bisected,
a
perpendicular.
eA
IP
AII
•
• raw
each
of
the
uadrilaterals
shown
in
the
given
• T
he
the
in
diagonals
the
to
check
the
diagon
als
line
table.
• raw
T
he
of
properties
table.
•
of
diag
onal
s
sym
me try
T
he
perpen
dicul
ar
are
An
(of
order
nd
if
there
there
or
is
A
is
a
vertices
.
is
a
line
sides.
ro tatio
nal
more
.
two
them
triangle
angles.
has
here
an
angle
are
two
of
°.
possible
ind
the
size
answers;
of
can
PoIn
the
you
1
both
riangles
isosceles
can
or
be
uadrilateral
has
three
angles
of
scalene,
euilateral;
acuteangled,
2
there
opposit
e
o ppos
ite
if

if
eIon
isosceles
other
equa
l
bisect
e
1
throu
gh
throug
h
diag
onal
s
sym
me try
Ar
are
symm
etry
rightangled
or
°.
obtuseangled.
a
alculate

hat
the
fourth
angle.
2
type
of
uadrilateral
is
he
special
suare,
3
A
uadrilateral
are
eual
but
has
do
two
not
pairs
of
uadrilaterals
are
it
eual
bisect.hat
type
angles
of
and
the
diagonals
uadrilateral
is
it
rectangle,
parallelogram,
isosceles
rhombus,
trapezium,
trapezium
and
kite.
13

Pptis

plys
Plys
LeArnIng
ooe
A
• nderstand
angle
ply
more
of
is
the
general
name
for
a
closed
shape
made
of
three
straight
sides.
polygons
h
• olve
problems
in
als
i
a
ply
geometry
• A

heagon
triangles
o

• A
the
×
angles

the
=
they
hese
an
angles
sides,
a
of
has
have
eti

and
can
be
add
up
split
into
verte.
a
heagon
to
°.
angles
enerally,
o
has
from
decagon
o

of
sides,
a
nsided
an
polygon
angle
inside
als
and
decagon
sum
the
make
of
can
split
into
up
to
can
be
split
n
polygon
a
be
add
−

are
straight
×

×
into
triangles
n
from
=
°.
−

a
verte.
triangles.
°.
called
line


with
iti
the
als
interior
angles.
AII
• magine
on
the
• tart
the
–
or
draw
–
a
triangle
oor.
halfway
sides
sides
of
and
the
along
walk
one
of
along
the
Interior
angle
triangle.
Exterior
• y
the
time
you
return
starting
position,
made
complete
a
• epeat
with
you
to
will
turn,
other
always
because
eterior
turn
have
or
°.
o
polygons.
you
round
turn
angles,
an
up
to
to
angle
and
the
interior
angle
are
supplementary
°.
he
the
eterior
angles
of
any
polygon
add
up
to
°.
always
A
add
eterior
up
once,
through
which
angle
your
add
ou
ula
ply
has
all
sides
eual
and
all
angles
eual.
°.
o
a
regular
nams
heagon
ad
num

has
al
sids

eual
angles
pptis

of

÷

riangle

uadrilateral

entagon

eagon

eptagon

Octagon

onagon
°.
plys
nam

=
Al
sum
°
AII
he
maimum
angles
in
a
• ind
the
number
triangle
uadrilateral
of
is
is
interior
of
,
right
but
in

×

=
°

×

=
°

×

=
°

×

=
°

×

=
°

×

=
°

×

=
°
a
.
maimum
pentagon
right
and
in
number
angles
a
in
a
heagon.

13
or
properties
ecagon
lvi
he
plms
interior
solve
and
eterior
angle
properties
of
polygons
can
be
used
eA
to
•
or
eample,
make
a
a
set
of
congruent
regular
pentagons
are
connected
egu
lar
equa
l
to
prove
that
they
form
a
regular
decagon
at
the
o
eterior
the
o
the
angle
interior
Angles
all
a
and
of
a
angles
b
are
remaining
regular
are
each
angle
all
pentagon

−

=
=

÷

=
°.
=
eter
ior

°.
and

°.
c

−

×
regul
ar
centre
the
he
means
and
all
sides
angl
es
equa
l.
loop.
• or

o
IP
problems.

=
•
°.
or
÷
the
of
inter
ior
eter
ior
sum
inter
ior
the
angl
e
num
ber
the
−
po lygo
ns,
of
or
sides,
angl
e
=
angl
e.
the
angl
es,
fo rm
ula
=
learn
use
the
sequ
ence.
a
c
b
ut
the
And
ut
o
eterior
the
this
the
interior
is
PoIn
1
A
regular
2
he
3

×
1
A
2
his
and
a
each
nd
A
has
suare
it
is
of
a

−
angles
regular
eual
an
of
three
decagon

in
=
=

÷

=
°.
°.
the
central
shape.
decagon.
sides
nsided
a
polygon
and
eual
polygon
angles
add
up
to
add
up
to
°.
of
the
°
size
each,
of
one
and
of
the
these
other
two
angles.
pattern
octagons
meeting
se
interior
angles
alculate
regular
verte.
this
at
fact
angle
of
to
a
octagon.
regular
does
the
has
angles
eual.
two
the
=
regular
eIon
are
regular
3
shape
tessellation
shows
all
angles
pentagon
angles
for
a
°.
eterior
Ar
of
angle
polygon
interior
−
he
true
central
e
n
angle
polygon
have
has
int
interior
nd
the
angles
size
of
of
an
°.
eterior
ow
many
angle
sides
rst.
13

stucti
here
LeArnIng
• onstruct
°,
a
number
of
constructions
we
can
perform
without
a
ruler.
ooe
hese
°,
are
als
angles
of
°,
°,
are
really
used
°
are
• onstruct
parallel
perpendicular
are
to
sometimes
straightedge
draw
used
called
for
straight
marking
rulerandcompasses
and
lines
compasses
rather
eual
than
constructions,
constructions,
to
measure.
as
he
the
but
ruler
is
compasses
distances.
and
lines
stuct
An
a
euilateral
al
triangle

has
°
angles
of
°.
o,
to
construct
an
angle
of
C
°,
we
irst,
draw
Open
the
B
A
iagram

mark
the
line,
and
line
vertices
and
compasses,
crossing
eeping

a
the
the
draw
it
at
mark
put
,
arc
to
a
the
and
compasses
an
of
an
point,
point
the
open
cut
euilateral
the
A,
on
other
at
the
other
triangle.
near
A
one
and
above
same
arc
at
end.
make
the
two
arcs;
one
along
line.
distance,
put
the
point
on
.
B
oin
A
to
complete
the
angle
of
°.
iagram

A
iscti

o
bisect
the
iagram
a
li
line
length
smt
segment
AB,
open
the
compasses
to
more
than
half
AB

 ith
C
the
epeat
compass
with
iagram
he
B
A
iagram
a
line
the
point
on
compass
A,
draw
point
on
arcs
B,
so
on
either
the
arcs
side
of
AB
intersect.

oining
the
iscti
a

o
cut
intersections
bisects
AB
al

bisect
or
compasses
each
arm
sing
C
raw

on
of
and
the
eactly
the
the

angle.
as
angle
in
verte,
half
A,
an
and
iagram
centres,
bisector
draw
from
angle,
make
the
point
marks
at
of

the
and

along

two
A
put
eual
arcs
to
through
cross
inside
the
angle
at
.
.
D
A
bisects
A.
angle
iagram
stucti

o
construct

o
construct
make
Opening
B
is
a
diagonal
of
the
rhombus
a
ppdicula
t
a
li
a
perpendicular
a
right
arcs
the
B
angle
and
C,
at
at
compasses
to
a
A,
line,
place
eual
wider,
we
simply
the
compass
distances
make
bisect
on
eual
oin
A
angle
point
either
two
an
arcs
side
on
A
of
A
from
B
C
A
1
A

and
iagram
because
B
A
iagram
A


to
cross
on
the
intersection
to
same
side
construct
of
the
the
line.
perpendicular.
to
the
point
iagram

of
of
and
°.
C
stucti
th
als
AII
• An
angle
of
°
can
be
constructed
by
bisecting
an
angle
of
°.
• An
angle
of
°
can
be
constructed
by
bisecting
an
angle
of
°.
sing
straightedge
compasses,
• An
angle
of
°
can
be
constructed
by
constructing
a
°
and
construct
angles
of
angle
• °
on
a
straight
line;
the
obtuse
angle
is
°.
• °
• °
stucti
a
ppdicula
m
a
pit
t
a
li
hat

o
construct
a
perpendicular
from
C
the
other
angles
could
you
construct
A
point
A
to
the
line
,
put
the
point
of
the
E
compasses

at
 ith


more
on
and
.
and
eual
A

and
draw
iagram
as
to
arcs
crossing

centres,
arcs
two
draw
intersect
at
two

.
eA
D
A
is
B
•
perpendicular
to
lwa
ys
is
because
A
is
a
diagonal
of
the
•
C
iagram
il
fo r
sharp
cons
truct
ions.
tra
igh te
dge
A
A.
a

penc
rhombus
use
.
iagram
his
IP

compa
sses
and
cons
truct
ions
E
do
no t
invo
lve
measu
ring.
• ak
e
sure
your
D
F
compa
sses
B
enou
gh
iagram



o
cstuct
construct
a
a
line
pai

through
paalll

parallel
so
are
tigh t
they
do
no t
slip.

lis
to
A,
F
rst
draw
a
line
se
compasses
from
to
A
through
draw
three
.
arcs
of
the
C
same
radius
F
D
• entre
A,
at

• entre
A,
at

on
A
B
G
on
A
C
E
A
• ong
arc,
centre

at

on
A
produced.
D
iagram
iagram


B
E
Open
an
the
arc
e
1
to
compasses
cross
the
to
long
the
arc
distance
at
.

.
is
ut
the
parallel
point
to
A.
PoIn
All
the
on

to
A
draw
iagram

iagram
Ar
angle
constructions
markings.
ake
symmetry
to
sure
help
you
you
use
can
symmetrical
see
remember
he
parallel
copying
measure
an
lines
construction
angle,
and
copy
and
a
uses
onstruct
2
isect
distance.
an
angle
of
°.
the
your
angle
of
°.
heck
your
them.
relies
the
eIon
1
accuracy
2

by
measuring
with
a
protractor.
on
compasses
to
3
plain
how
you
could
construct
an
angle
of
°.
11

stucti
ad
he
LeArnIng
tials
plys
constructions
here
involve
a
ruler,
protractor
and
compasses.
ooe
• onstruct
triangles
• onstruct
regular
• onstruct
irregular
stucti
polygons
polygons
e
can
tials
construct
a
triangle
• he
length
of
all
• he
length
of
two
of
two
A;
• he
• he
in
between
length
of
stucti

o
draw
• raw
•  ith
and
a
 cm
the
a
and
draw
pieces
of
information
or
and
the
size
of
the
and
the
size
of
an
angle
between
them
A;
and
sides
the
of
rst
open
to
shown
open
the
angle
other
than
the
or
size
of
two
angles
AA.
tial
side
draw
connect
a
between
• raw
 cm,
 cm
and
 cm
put
the
point
on
one
end
of
the
line
blue.
 cm,
arc
two
 cm,
 cm.
in
to
an
ends
of
to
put
the
point
cross
the
rst
ends
of
the
line
on
arc
to
the
other
shown
the
in
end
of
the
green.
intersection
of
the
with
line
stucti
to
two
a
construction
sides
side
angle
the
tial
of
 cm
and
 cm,
with
an
angle
°
longest
an
this
of
A
triangle
the
• tend
a
them
measure
his
three
;
red.
stucti

o
arc
compasses
line,
side
with
longest
an
sides

compasses
• inally,
arcs
sides
them
one
triangle
draw
• ith
given
sides
or
length
angle
three
of
 cm
lines
A
is
 cm
°
at
rst,
one
shown
green
and
then
use
a
protractor
to
end.
in
to
blue
and
complete
oin
the
the
remaining
triangle.
tial
known
as
the
amiuus
cas,
as
it
usually
C
1
gives

o
rise
to
construct
two
a
different
triangle
possible
A
A
=
with
answers.
A
=
raw
A
°
at
 cm

long,
shown
 ith
A
to
and
in
=
 cm
and
point
cross
mark
an
angle
of
blue.
compasses
the
C
 cm,
°
on
the
open
A,
to
draw
°
line
 cm
an
and
arc
shown
in
green.
2
he
arc
crosses
labelled

at
and
two


.
points
oining

B
either
of
these
to
A
gives
a
A
triangle
12
matching
the
description.
stucti
a

o
triangle
construct
angle
A
a
=
AA
°
tial
A
and
with
angle
A
A
=
=
 cm,
°
C
• raw
the
• easure
shown
• he

an
in
the

°
 cm
angle
of
long.
°
at
A
at
−
angles
tend
A
blue.
angle
=
to
line

in
−
a
shown
the

=
°,
triangle
in
lines
if
as
add
up
green.
necessary
so
B
they
intersect
at
stucti
egular
A
full

o
is
°

sides
by
• irst,

can
be
plys
constructed
inside
a
circle.
°.
construct
with
A
ula
polygons
turn
.
a
regular
a

draw
polygon
nonagon,
a
÷

=
circle
divide
°.
and
a
eA
•
rom
the
radius,
ak
of
°
e
sure
shown
in
co rrec
t
the
ends
of
the
radii
the
regular
the
in
green.
line
stucti

o
construct
sketch
rst,
iula
irregular
and
polygons
plan
the
1
order
including
in
which
uadrilaterals,
to
carry
out
make
the
,
marke
d
lengt
h
no t
of
from
.
a
.
a
construction.
AII
onstruct
a
with
of
parallelogram
PoIn
A
triangles
usually
triangle
and
one
egular
polygons
have
two
solutions,
obtuseangled
one
acuteangled
triangle.
2
can
be
drawn
inside
a
circle
by
dividing
sides
and
an
he
diagram
,
2
from
the
plys
1
e
scale
the
on
turn
ing
nonagon
• ea
sure
shown
by
to
from
construct
use
scale
blue.
pro tra
ctor
• oin
you
measure
the
angles
IP
radius.
aint
the
number
of
of
and
 cm
°.
shows
incent
arbados

and
°
renada
by
 cm
angle
.
sides.
100
V
miles
B
Ar
eIon
60°
1
onstruct
a
triangle
A
where
A
=
 cm,
angle
A
=
°
G
and
A=
°.
easure
the
lengths
of
A
and
.
sing
2
onstruct
a
regular

3
onstruct
angle
the
a
A
length
pentagon
=
of

A.
a
scale
of
 cm
to
octagon.
=
A

=
with
°,
A
=
A

=
=
A

=
=

°.
=
 cm,
easure
miles,
drawing.
the
make
an
angles
an
you
accurate
construct
without
using
a
protractor
13

imilaity
ad
cuc
imila
LeArnIng
f
• se
tials
ooe
properties
of
the
three
angles
of
one
triangle
are
eual
to
the
three
angles
of
similar
another
triangle,
then
the
two
triangles
are
identical
in
shape
even
if
triangles
they
• dentify
and
use
are
different
in
size.
congruent
uch
triangles
are
called
simila
tials
triangles
he
lengths
of
each
pair
ore
eAPLe
n
triangle
ABC,
n
triangle
DEF,
of
corresponding
sides
are
in
the
same
ratio.
1
o
angle
B
=



=

D
o
angle
D
=



=
7.8
cm

A
o
angle
A
=
angle
F
84º
Angle
B
=
angle
E
Angle
C
=
angle
D
15.2
B
orresponding
cm
41º
sides
9.5
cm
C
are
55º
AB
and
FE,
AC
and
FD,
BC
and
.
ED


E
=
=
84º
ED
10.0
F
cm
.
.
BC
o
the
DF
=
AB
=
sides
.
EF
of
×
÷
DEF
AC
.
ut
=
=
are
.
.
×
.
×
.
÷
the
=
.
sides
.
=
.
of
ABC
cm
cm
tials
A
riangles
size
he
the
he
are
that
are
called
three
three
the
cut
angles
angles
three
eactly
sides
of
of
of
one
the
one
same
shape
and
tials
triangle
other
are
eual
to
triangle.
triangle
are
eual
to
the
D
three
here
to
be
sides
are
the
four
sure
.
of
that
.
other
sets
of
two
he
triangle.
minimum
triangles
three
reuirements
are
ides
of
congruent
one
triangle
D
A
are
of
.
the
A.
the
are
E
B
1
C
F
eual
in
length
other
he
the
three
sides
triangle.
triangles
included
eual.
to
have
Als
two
the
pairs
angles
of
eual
between
ides
these
and
two
sides
.
AA

pair
of
.
he
triangles
corresponding
have
ides
two
pairs
of
eual
Angles
and
one
eual.
D
A
A
D
E
B
.
F
C
r.
he
two
triangles
are
right
angled,
have
eual
ypotenuses
B
and
one
other
ore
riangles
are
ABC
and
not
so
this
and
sides
H
is
riangles
JKL
F
E
2
are
D
O
angles
the
eual
IHG
he
between
BCHG
C
ides.
C
and
A
G
sides
A.
and
A.
are
eual
FDE
eual
not
ABC
congruent
B
and
he
between
riangles
of
eAPLe
congruent.
E
pair
and
are
eual
the
angles
B
BAHI
and
MON
C
E
F
I
H
eual
P
M
J
S
Q
are
o
congruent
JL
=
MN
.
K
=
O
hypotenuses
=

,
and
K
KL
=

riangles
Angles
1
O
JKL
and
JKL
KT
PQR
and
are
are
UTS
congruent
are
eual,
O
as
are
AA
orr
congruent.
LS,
but
the
.
he
K
=
Q,
L
=
hypotenuses
eual
R
and
JLUS
sides
KLSU
same
shape.
are
JL
=
are
not
PR
not
in
which
eual
are
so
corresponding

corresponding
imilar
triangles
have
sides
eual
are
in
angles
the
so
same
are
the
eA
ongruent
proofs
not
apply.
positions.
of
triangles
are
congruence
the
are
same
,
shape
A,
IP
AA
and
orr
size.

he
and
or
the

cong
ruen
ce,
four
angl
es
.
•
Ar
or
the
eIon
be
ABCD
is
a
parallelogram.
parallel
to
A
B
the
the

equa
l
in
proof
the
mus
t
be tween
is
does
sides.
proportion.
•
EF
U
PoIn
orresponding
2
T
R
riangles
e
N
L
ON
be
the
equa
l
o rr
sides
of
equa
l

angl
e
sides
.
proof
,
have
to
co rres
pond
ing
positio
ns.
AD
E
12
AD
FC
1
=
=


DF
=

cm
cm
and
cm.
rove
ABC
cm,
that
are
triangles
ACD
and
congruent.
2
rove
that
3
alculate
triangles
the
D
CEF
length
of
and
CAD
3
are
cm
F
5
cm
C
similar.
EF
1

Pythaas’
Pythaas’
LeArnIng
ythagoras’
nd
missing
angled
theorem
sides
in
theorem
rightangled
theorem
alive
and
around
is
best
 bc.
e
remembered
was
for
a
his
about
triangles.
the
theorem
had
been
used
previously
by
abylonians
and
it
is
believed
that
ythagoras
ythagoras’
theorem
states
was
the
rst
person
to
prove
problems
AII
result.
rightangled
a
the
the
suare
on
each
side
of
smallest
a cm,
and
the
suare
the
the
has
middle
largest
side
one
−
to
on
each
triangle,
areas
of
that
side
then
if
of
a
a
the
the
he
red
suares
the
larger
area
is
of
suare.
triangle
rightangled
is
a
triangle.
c cm,
he
b
the
smaller
eual
triangle.
length
drawn
triangle.
two
• raw
is
rightangled
sum
a
b cm
was
to
suare
• f
who
philosopher,
right
the
of
reek
and
ndians,
raw
a
mathematician
triangles
ythagoras’
solve
was
to
Although
• se
thm
ooe
ythagoras
• se
thm
sum
of
the
areas
of
a

calculate
the
green
suares
is
eual

to
b
−
the
area
of
the
yellow
suare.
a

• easure
cm
clockwise

si
from
each
b cm
verte
suare.
of
oin
the
the
Pythaas’
marks
ore
as
eAPLe
1
shown.
oe
• ut
into
ut
out
the
four
out
• Arrange
eactly
to
thm
middle
suare
pieces
the
the
along
smallest
ve
cover
show
and
that
the
cut
the
lines.
ythagoras
make
e
to
largest

o
a
it
diagonal
suare.
pieces
makes
rectangular
wooden
frame
for
a
door.
it
suare
he
wants
to
put
in
a
piece.
draws
length
rigid,
a
and
sketch,
width
and
of
marks
the
on
it
the
door.
2.1 m
was
oe
correct.
realises
theorem.
to
that

o
he
help,
can
he
use
colours
show
the
rightangled
e
does
not
draw
e
knows
the
the
area
ythagoras’
of
the
diagram
triangle.
suares.
the
bottom
suare
0.9 m

b
a
would
be
.
×
.
=
. m
2

he
suare
on
the
left
would
be
.
×
.
=
. m

o
the
large
suare
would
have
an
area
of
.
+
.
=
. m


he
to
diagonal
the
he
f
nearest
longest
angle.
the
t
is
side
shorter
2
1
2
+
b
2
=
c
.,
so
the
diagonal
=
√
. ,
or
. m
cm.
called
hyptus
a
=
of
sides
is
the
the
c,
of
triangle
is
always
opposite
the
right
hyptus
a
then
rightangled
ythagoras’
triangle
theorem
are
can
a
and
be
b,
and
written
the
as
lvi
oe
plms
realised
sosceles
the
usi
diagonal
triangles
also
Pythaas’
of
can
a
rectangle
be
split
into
thm
created
two
rightangled
congruent
eA
triangles.
IP
rightangled
•
ytha
goras’
triangles.
only
work
s
angl
ed
ore
harlotte
eAPLe
is
he
is
he
screws
hanging
going
to
2
a
hang
large
it
on
a
painting
wire
on
the
attached
wall.
to
two
lwa
ys
•
dd
. m
apart,
and
the
wire
is
. m
the
diagram
shows
the
a
diag
ram .
squa
res
the
ubt
ract
when
hypo
tenus
e.
the
squa
res
long.
when
he
draw
ndi
ng
•
are
right

trian
gles.
•
screws.
theorem
for
arrangement.
ndi
ng
shorter
one
of
the
sides
.
1.5 m
1.6 m
harlotte
will
wants
to
know
how
far
down
from
the
screws
the
wire
reach.
he
draws
two
a
sketch.
congruent
he
triangle
rightangled
is
isosceles,
so
she
divides
it
into
triangles.
0.75 m
a
0.8 m
sing
ythagoras’


a

a
theorem,


+
.
=
.
+
.
=
=
.
.

.


a
−
=
.


a
he
wire
e
1
=
he
f
.
will
=
reach
. m
. cm
the
screws.
a
Ar
longest
the
and
b
side
of
a
rightangled
are
hypotenuse,
ectangles
into
two
triangle
is
1
hypotenuse.
perpendicular
then
and
a
b
isosceles
congruent
and

+
A
c
is
the
2
A
eIon
rightangled
and

3
below
PoIn
called
2
√
 cm.
suare
triangle
ind
has
the
a
has
length
diagonal
shorter
of
of
the
sides
of
 cm
hypotenuse.
 cm.
ind
the

=
c
length
triangles
rightangled
can
be
split
triangles.
3
An
of
side
of
euilateral
alculate
the
the
suare.
triangle
area
of
has
the
sides
of
 cm.
triangle.
1

ymmty
ad
tatis
rcti
LeArnIng
symmty
ooe
A
• dentify
ctis
reection
and
shape
has
cti
symmty
if
one
half
is
a
mirror
image
of
rotation
the
other
half.
symmetry
ere
• ind
the
the
image
obect
of
given
an
the
obect
are
two
eamples,
with
the
mi
li
shown
as
a
dotted
line.
or
image
AII
ome
he
amaican
lines
of
ag
symmetry
symmetry
of
has
and
order
two
shapes
others
have
have
a
display
of
ags
ark
any
symmetry
and
write
of
rotation
a
school
possesses
forms
eA
of
either
the
lines
of
symmetry
symmetry,
same.
th
No
lines
of
symmetry
the
shape
or
image
can
be
rotated
and
it
still
ow
d
many

matches
tati
there
are
as
you
go
around
once
symmty
symmetry
.
ag
or
are
some
eamples.
that
both
symmetry.
Order
es
withou
sym
me try
having
sym
me try
are
t
1
Order
2
Order
3
ro tatio
n
describ
ed
rcti
ro tatio
n
of
order
A
cti
is
a
cut
tasmati
.
t
changes
hen
we
the
position
reect
transformation
the
1
while
IP
• h
ap
as
symmetry,
symmty
rotation
called
ere
• esign
reection
the
is
order
of
lines
looks
of
line
that
 ith
symmetry
.
one
rotation
rtati
have
than
.
Two
• ake
more
none.
ct
the
a
is
of
shape
the
the
in
same
original
a
shape
without
mirror
line,
the
perpendicular
shape,
but
on
affecting
ima
distance
the
its
the
from
opposite
shape
side
result
the
of
or
of
size.
the
mirror
the
as
mirror
.

o
reect
the
ag
in
the
mirror
line
y
=
x
+
y

5
• urn
the
diagram
so
that
the
mirror
line
is
vertical.
4
• easure
the
horizontal
distance
3
of
each
verte
from
the
mirror
2
shown
in
green,
and
measure
1
an
eual
distance
the
other
y
x
0
of
the
mirror
in
red.
oin
3
5
side
2
1
1
2
3
4
1
to
create
the
image
4
vertices
4
the
3
2
2
2
blue.
1

o
dene
a
reection,
we
must
0
line.
eA
IP
3
−
−
2
2
−
mirror
−
the
1
1
name
−
•
T
o
reec
t
the
paper
a
shap
e,
so
that
rtati
mirr
or
line
is
congruent
transformation
is
as
the
6
tati.
hen
we
rotate
a
shape,
it
is
the
shape
is
on
a
large
wheel.
e
reec
tion
is
then
as
ho ri
onta
l.
5
if
the
verti
cal,
y
Another
turn
need
4
to
know
what
angle
to
rotate
it
through,
3
and
the
position
of
the
centre
of
the
2
‘wheel’.
1

o
rotate
the
ag
in
the
diagram
°
x
0
2
anticlockwise
• magine
at
,
the
wheel,
point
with
the
,
1

1
1
centre
.
• otate
and
a
about
the
the
diagram
ag
is
now
°
anticlockwise,
horizontal,
with
the
eA
top
of
the
agpole

• T
o
directly
above
the
centre
of
rotation.
se
tracing
paper
if
it
IP
units
ro tate
helps.
tracin
g
a
shap
e,
paper
y
the
paper
6
imag
5
e
to
or
see
shou
ld
use
ro tate
where
the
be.
4
3
2
1
1
e
PoIn
1
shape
x
0
2
1
1
A
has
symmetry
line
Ar
that
escribe
fully
the
splits
the
is
a
mirror
maps
A
onto
and
its
shape
into
an
reection.
y
transformation
2
that
reection
there
eIon
obect
1
if
.
he
order
of
rotation
symmetry
5
is
the
number
of
matches
with
B
2
escribe
that
fully
maps

the
onto
transformation
the
C
.
original
through
shape
as
it
rotates
°.
3
3
escribe
that
fully
maps
A
the
onto
transformation
3

o
dene
a
reection,
give
the
A
.
euation
of
the
mirror
line.
1

0
2
1
x
1
1
2
3

o
dene
centre
of
a
rotation,
rotation
give
and
the
the
angle
4
and
direction
of
the
rotation.
1
1
uth
tasmatis
aslatis
LeArnIng
ooe
A
• epresent
translations
taslati
is
a
congruent
transformation.
A
translation
using
changes
the
position
of
a
shape
by
sliding
it,
but
does
not
alter
the
vectors
itati
• ecognise
positive,
scale
enlargements
fractional
and
with
ranslations
negative
us
how
far
of
the
are
to
shape
dened
move
it
by
the
does
a
not
clum
shape
reect
or
vct.
horizontally
rotate
A
and
it.
column
vector
tells
vertically.
factors
move
x
units
to
the
right;
a
negative
number
means
x
• ocate
the
image
under
a
(
combination
of
y
means
)
move
(
transformations
move
y
units
up;
a
to
negative
the
left
)
number
means

• he
translation
that
moves
A
to

is
down
−
)
(
move
;
B
to
C
is
(
)
−

y
elamts
4
An
enlargement
is
a
simila
tasmati
as
the
image
is
the
3
same
shape
as
the
obect
with
the
same
angles,
but
a
different
size.
B
he
2
original
dimensions
y
C
are
increased
by
the
same
1
6
multiplying
2
or
scal
act
0
3
factor,
5
x
1
1
2
3
4
5
A
1
Additionally,
the
distance
of
4
each
verte
from
the
ct
2
3

lamt
by
the
same
is
scale
increased
factor.
2
C
n
the
diagram,

is
the
1
centre
eA
of
enlargement.
IP
0
he
•
T
he
centre
•
or
Draw
of
outsid
the
centre
help
•
T
o
of
with
nd
enlargement
e
can
the
rays
be
on,
shap
e.
from
the
enlarg
emen
t
the
the
triangle
is
2
an
to
draw
ing.
centre
with
a
ach
side
the
he
scale
side
of
of
the
of
the
red
distance
scale
the
factor
red
of
the
of
and
rays
1
triangle
.
blue
2
triangle
triangle,
from
factor

as
can
and
the
be
is

each
times
the
verte
vertices
of
of
the
length
the
red
a
given
imag
e,
back
to
inter
section
.
a
of
blue
the
corresponding
triangle
triangle
is

times
are.
y

of
fraction;
a
scale
factor
of

enlarg
emen
t
obec
t
x
1
1
enlarg
emen
t
in
blue
the
draw
point
produces
size
of
an
the
distance
image
obect,
from
the
half
half
7
the
the
centre
5
of
enlargement.
Although
4
the
image
is
the
obect,
smaller
we
still
than
call
it
an
enlargement.
2
A
negative
scale
factor
1
produces
other
an
side
image
of
the
on
the
centre
of
0
3
enlargement.
he
2
1
1
shows
factor
1
an
enlargement,
−,
centre
,
.
x
1
diagram
scale
2
2
3
4
5
6
7
mii
hen
we
another
two
perform
a
transformation
transformation
transformations
ore
1
tasmatis
otate
with
eAPLe
A
on
the
a
on
image,
single
an
we
obect,
can
and
then
sometimes
perform
replace
the
one.
1
eA
y
°
anticlockwise
about
•
lwa
ys
•
If
a
6
,

,
image
ranslate

is
.
B
don’ t
4
)
,
image
is
a
diag
ram .
asks
for
a
trans
form
ation
,
give
a
stag
e
answ
er
.
.
D

draw
ques
tion
singl
e
C
through
−
(
IP
A
E
3

ingle
from
transformation
A
to

2
otation
G
°
anticlockwise
1
about
−,
AII
F
.
0
3
2
eect
A
in
x
=
2
1
x
1
2
3
4
5
raw
diagrams
these
are
to
show
that
,
1
image


is
eect

in
y
=
2
,
image
is
ingle
transformation
from
A
• wo

.
be
to

about
A
can
a
always
single
translation.
,
perpendicular
reections
.
−
ranslate
by
°
can
3
translations
replaced
• wo
rotation
true.
.
through
be
replaced
by
a
rotation.
)
(
always
,
image
is
.

• wo

nlarge
,
scale
factor
,
with
centre
−,
,
image
is
parallel
always

ingle
transformation
from
A
to

enlargement,
scale
reections
can
.
factor
be
replaced
by
a
,
translation.
centre
,
.
Ar
eIon
e
PoIn
y
1
ranslate
triangle
A
1
−

through
(
ranslations
column
6
are
dened
by
a
vector.
)


abel
the
image
2
5
.
nlargements
a
scale
factor
are
and
dened
centre
by
of
4
2
nlarge
factor
−,

of
.
with
,
a
scale
enlargement.
centre
abel
3
3
A
the
ome
combinations
of
2
transformation
image
replaced
1
3
escribe
single
fully
the
to
transforms
A
by
a
be
single
transformation.
0
transformation
3
that
can
.
2
1
x
1
2
3
4
5
1
.
2
11
11
hdimsial
shaps
lids
LeArnIng
ooe
hdimsial
• olve
geometric
A
using
• se
faces,
classes
pyramids,
edges,
of
shaps
are
sometimes
called
slids
problems
solids
cylinders,
twodimensional
shape
is
a
at
shape,
such
as
a
triangle
or
a
circle.
vertices
prisms,
hreedimensional
shapes
have
volume
as
well
as
surface
area.
cones,
lasss

slid
sphere
ome
slices
solids
in
olids
ere
the
are
one
of
are
this
type
some
entire
the
same
direction,
are
shape
we
called
eamples.
shape.
idden
rise
from
Square-based
solids
acs
• A
he
Vertex
Edge
• wo
surface
faces
• dges
yellow
edges
are
meet
the
ad
on
meet
at
a
base
to
pyramid
include
ds
at
the
a
at
a
their
same
length.
f
we
take
cssscti
crosssection
shown
Cylinder
shapes
Other
get
pisms
Cuboid
Other
throughout
always
a
with
Triangular
point.
is
constant
dotted
hese
through
lines.
prism
are
the
T
etrahedron
pyamids
Cone
sphere.
vtics
solid
an
is
called
a
ac
d
vt.
he
plural
shown
here
of
verte
is
vtics
Face
he
dodecahedron
has
many
hidden
faces,
edges
and
vertices.
he
whole
ach
pentagon
ach

÷
ach
edge

=
edge
formed
12
shape
by
is
is
has
made
ve
formed

of
sides,
where

so
pentagons,
that
two
makes
sides
a
so
it
has
total
coincide,
of
so


faces.
×
there

=
must

sides.
be
edges.
has
two
three
ends
ends,
making
so
there
a
total
must
be
of


÷
ends.

=
ach

verte
vertices.
is
eonhard
rule
that
uler,
for
an
any
thcentury
cv
wiss
mathematician,
plyhd,
the
number
of
discovered
faces,
F,
the
edges,
eA
E
and
vertices,
,
are
connected
by
the
•
F
+
V
=
E
+
IP
formula
se
the
shap
n
this
case,

+
sym
me try
of
2

=

+

es
to
hidd
en
help
faces,
coun
t
edges
and
verti
ces.
A
conve
interior
A
polyhedron
is
a
solid
with
entirely
at
faces
with
no
ree
angles.
cylinder
is
not
a
conve
polyhedron
because
it
has
a
curved
surface.
AII
lids
ad
symmty
• ount
wodimensional
shapes
have
mirror
lines,
or
lines
of
symmetry,
the
vertices
dimensional
shapes
have
plas

symmty.
A
plane
is
a
number
of
faces,
but
and
edges
for
at
a
cuboid
a
suarebased
a
tetrahedron
a
triangular
surface.
A
cuboid
the
has
shape
three
were
cut
planes
in
of
half,
symmetry;
one
half
that
would
is,
be
a
three
planes
mirror
where
image
of
if
the
pyramid
prism.
other.
• heck
he
cuboid
has
its
planes
of
symmetry
marked
with
coloured
agree
lines.
F
A
cube
edges
has
and
nine
si
planes
through
of
symmetry
three
through
the
midpoints
+
that
with

=
E
your
answers
uler’
s
+
ule,
.
of
vertices.
AII
ind
the
four
symmetry
Ar
eIon
1
has
A
cuboid
through
the
a
suare
• a
triangular
• a
suarebased
e
hole
passing
1
centre.
many
vertices
faces,
does
the
olids
edges
3
ow
uler’
s
aw
hold
for
this
planes
of
and
uler’
s
shape
vertices
faces
corners.
ule
+
vertices
symmetry
=
edges
+

olids
have
planes
of
does
symmetry
the
at
where
shape
3
many
faces
edges
and
faces
oes
pyramid.
have
2
2
prism
have
surfaces,
shape
of
PoIn
meet
ow
planes
of
–
the
surface
where
have
a
knife
into
would
two
cut
the
mirrorimage
shape
pieces.
13
12
LeArnIng
ooe
• etermine
acute
imty
the
angles
trig
of
AII
ratios
in
raw
a
rightangled
triangle
with
an
angle
of
°.
rightangled
• easure
the
length
of
the
side
opposite
• easure
the
length
of
the
hypotenuse.
the
°
has
an
angle.
triangles
• se
trig
ratios
in
rightangled
• hat
triangles
in
realworld
do
• hat
geometry
and
scale
notice
happens
if
the
rightangled
triangle
angle
of
.°
drawing,
bearing,
heights,
angle
elevationdepression
of
you
practical
distances,
imila
ihtald
All
rightangled
o
if
in
one
triangles
such
tials
with
triangle,
the
an
angle
side
of
°
are
similar
.
ppsit
AII
the
A
mnemonic
such
as
it
‘ome
°
will
angle
be
true
is
half
for
all
of
the
°
hyptus,
rightangled
then
triangles.
30°
Old
airy
amels
Are
airier
e
say
that,
for
an
angle
of
°,
Adjacent
han
Others
Are’
can
help
opposite
remember
the
Hypotenuse
you
side
side

rules.
=
..
hypotenuse
• an
you
one
you
t
make
has
will
to
up
be
a
better
something
his
is
called
the
si
of
°.
remember.
Opposite
he
third
because
side
it
is
is
called
adacent,
length
of
the
or
adact
net
the
to,
the
adacent
side
side,
angle
of
°.
side

he
result
of
is
length
opposite
of
the
called
the
csi
of
°,
hypotenuse
side

and
eA

ou
mus
is
adacent
IP
t
hese
learn
these
are
called
the
tat
usually
abbreviated
to
the
=
si
nd
Alan
he
the
looks
looks
length
up
up
at
a
top
the
letters,
so
we
write
cos A
=
opp
,

tan A
=
hyp
ad
timty
1
of
the
from
three

,
hyp
To
rst
ad
opp

sin A
eAPLe
°.
three
fo rm
ulae.
ore
of
side
side
of
a
(1)
tree.
horizontal
he
is
al

lvati
the
angle
°.
x
e
is
 m
e
uses
e
draws
e
calls
from
the
foot
of
the
tree.
Opp
this
information
to
nd
the
height
of
the
tree.
35°
a
sketch,
and
labels
the
sketch.
20 m
the
adacent
formula
1
side
side,
with
he
and
wants
wants
adacent
to
to
and
calculate
calculate
opposite
x.
the
in
is
e
knows
opposite
the
the
side.
tangent
he
formula.
Adj
opp

e
writes
tan

=
ad
is
calculator
tells
him
that
tan

=
.,
so
he
writes
x


.
=

x
=
.
o
the
To
nd
An
height
the
isosceles
e
he
e
×
are
of
know
=
the
length
to
. m.
tree
of
triangle
going
dotted

is
a
has
nd
side
two
the
adacent
line
side
plus
the
height
of
his
eyes
from
the
ground.
(2)
angles
length
perpendicular
the
. m,
of
of
the
creates
and
°
other
two
want
and
a
base
 cm.
sides.
congruent
the
of
rightangled
hypotenuse,
so
we
use
triangles
with
an
adacent
side
of
 cm.
cosine
ad


cos 
=
hyp
Hyp



.
=
x
x

.

x
×
Opp
x
=

ultiplying
both
sides
by
x


=
=
. cm
to

decimal
place
.
Adj
To
calculate
an
8 cm
angle
2.8 m
elody
measures
the
end
of
her
shed.
t
is
. m
wide.
Hyp
Opp
he
roof
is
. m
long.
x
elody
wants
to
calculate
x,
the
angle
of
the
roof
with
the
horizontal.
Adj
he
knows
the
adacent
and
hypotenuse,
so
she
chooses
2.4 m
cosine.
ad

cos
x
=
hyp
.

cos
x
=
=
.
.
As
she
knows
the
cosine
and
wants
the
angle,
she
must
use
the
inverse

function
of
cosine,
cos
..
er
calculator
has
an

key.

x
=
cos
.
=
.°
to

decimal
place.
e
1
Ar
hese
eIon
uestions
refer
to
PoIn
rigonometry
angled
triangle
is
used
in
triangles.
ad
opp
A.
A

2
sin
=

,
cos
=
hyp
1
A
=
 cm,
angle
A
=
right
,
hyp
°.
opp
alculate

.
tan
=
ad
2
A
=
 cm,
angle
A
=
°.
C
B
alculate
3
dentify
sides
3
A
=
the
known
or
wanted
A.
 cm,
A
=
 cm.
alculate
angle
A.
the
and
angles
correct
to
choose
function.
1
13
uth
uss

timty
rigonometry
LeArnIng
some
• se
trigonometry
in
of
of
triangles
elevation
• se
a
number
of
practical
uses.
ere
we
will
eplore
them.
right
Als
angled
has
ooe
and
with
depression
trigonometry

lvati
ad
dpssi
angles
ore
eAPLe
1
with
eter
is
relaing
on
his
hotel
balcony
.
ohn
is
standing
on
the
beach.
bearings
hen
he
they
angle
look
at
each
upwards
other,
from
the
ohn
looks
horizontal
is
up
through
called
the
angle
al
x

lvati
y
eter
he
b
looks
angle
down
through
downwards
angle
from
the
y
horizontal
is
called
the
al

dpssi
he
f
ohn
he
x
angles
can
e
is
eual,
 m
use
knows
uses
are
from
as
they
the
trigonometry
the
adacent
are
hotel,
to
alternate
and
the
calculate
side,
and
angle
the
wants
angles
of
height
the
on
parallel
elevation
lines.
is
°,
b
opposite
side,
so
he
tangent.
opp



tan

=
ad
b

Hyp


 . =


Opp

b
200 m
b
=
. m

to

d.p.
Adj
ais
e
or
A
can
use
compass
bearings
to
describe
a
direction,
such
as
orth,
outhast.
more
Angle
precise
method
bearings
always
written
are
is
to
use
measured
with
three
al
ais
clockwise,
digits,
so
a
from
bearing
orth.
of
°
earings
is
written
are
as
°.
arbados
aint
is
 km
incent
is
due
 km
ast
due
of
aint
orth
of
incent.
renada.
North

o
Adj
nd
the
bearing
of
renada
from
arbados,
we
rst
160 km
S
and
label
it.
B
x
e
calculate
e
know
angle
x
92 km
Opp
the
opposite
and
adacent,
Hyp
opp


tan
x
=

=
ad
=
.

G

x
1
=
tan
.
=
.°
so
we
use
tan
draw
a
sketch
he
bearing
ere
is
a
marked
more
in
comple
red
is

−
.
=
.°
eample.
114°
Puerto
he
bearing
of
amana
from
uerto
lata
is
°,
Plata
anto
Samana
omingo
lata
e
is
from
can
on
a
bearing
anto
draw
a
of
omingo
sketch
°
is
map
on
of
from
a
amana,
bearing
this,
and
of
and
uerto
°.
create
rightangled
Santo
Domingo
triangles.
329°
he
angles
of
subtracting
map.
All
°,
the
calculated.
°,
°
°
other
his
and
and
angles
would
°
have
°
in
from
the
allow
us
been
the
angles
diagram
to
use
calculated
can
on
now
by
the
be
trigonometry
to
solve
problems.
Puerto
amana
and
anto
omingo
are
both
 km
from
uerto
Plata
lata,
24°
so
the
triangle
is
isosceles.
y
x
Angle
x
is

Angle
y
=
−

−

=
°
Samana

−

−

=
°
Puerto
o
the

o
nd
triangle
the
looks
distance
like
Plata
35°
this
a
59°
Santo
Domingo
opp


sin
. =
170 km
16.5°
hyp
a
Samana

 . =

a
a
=
. km
Santo
o
to
the
distance
amana
=
from

×
anto
Domingo
AII
omingo
. km
=
 km
to
the
nearest
km.
A
is
on
he
e
Angles
down
2
of
elevation
from
earings
the
are
and
depression
are
angles
looking
up
or
• ow
far
orth
• ow
far
ast
measured
in
a
clockwise
direction
from
orth.
• hat
oward
of
looks
depression
away
he
is
down
of
oward
boat
is
 km
from
°.
he
from
the
from
is
is
a
a
cliff
to
height
a
of
boat
the
through
cliff
is
an
 m.
and
ow
far
to
the
from
and
.

 km
from
°.
ow

is
of
port,
east
of
on
the
a
bearing
port
is
the
of
°
from
A
on
a
 km
from

on
is
a
know

the
from
right
bearing
bearing
bearing

of
of

A
from
from
A
IP
roun
d
end
roun
ded
keep
angle.
and
of
a
migh
t
your
ind
of
connection
the
off
until
calcu
latio
n.
write
distance
down
version
,
that
A

A
140°
11 km
A
the
ever
50°
angle
is
bearing
a
B
you

bearing
°.
how
of
the
a
plain
A
boat
5 km
a
is
far

ou
bearing

boat
the
of
of
angle
•
is
the
the
eA
port.

A
A
between
eIon

3
°
horizontal.
• hat
Ar
2
of
between
 km.
from
1
bearing
PoIn
is
1
a
distance
the
full
but
displa
y
in
calcu
lato r
.
of
A.
C
1
1
h
aa
ad
timty
th
rigonometry
LeArnIng
the
a
tial
i
dimsis
can
be
applied
to
other
situations.
n
this
unit
we
ooe
use
• ind

area
of
a
triangle
using
trigonometry
trigonometry
to
to
nd
three
the
area
of
a
triangle,
and
also
apply
dimensions.

the
formula
A
=
ab
sin
C

h
• olve
practical
involving
distances
heights
in
aa

a
tial
problems

and
e
situations
can
sides
use
and
trigonometry
the
angle
to
nd
between
the
area
of
a
triangle,
given
two
them.

n
the
diagram,
Area
=
a

opp
A


sin
=
hyp


o
sin

=
,
or

=
b
sin
.
b
c
h
b
ubstituting

=
b
sin

into
the
area
formula,
we
get


Area
=
ab
sin


e
C
B
a
could
also
write
it
as
D


Area
=
bc
sin
A,
ac
sin

or



Area
=

he
o,
formula
if
a
=
uses
 cm,
two
b
=
sides
and
the
 cm
and

angle
=
in
between
those
two
sides.
°.


Area
=
ab
sin




Area

=
×

×

×
sin

=
. cm

imty
A
e
can
apply
i
th
trigonometry
dimsis
in
three
dimensions.
B
he
maor
step
is
identifying
rightangled
triangles.
4 cm
C
D
ook
at
the
diagram
of
the
cuboid
A.
F
G
e
are
going
to
nd
out
which
of
these
three
angles
are
right
angles
7 cm
E
A
H
A
A
11 cm
A
good
sides
of
the
put
in
• f
A
is
• f
is
a
a
way
vertical
• ut
if
nd
out
is
to
imagine
horizontal.
e
the
then
cuboid
decide
if
with
the
one
other
of
the
side
can
be
position.
horizontal,
then
A
is
horizontal
and

is
vertical.
A
angle.
is
right
horizontal,
then

is
horizontal
and
A
is
vertical.
A
angle.

vertical.
1
is
right

a
to
angle
o
is
horizontal,
A
is
not
a

right
is
horizontal
angle.
but
A
cannot
be
made
ore
eAPLe
1
eA
n
the
cuboid
A
rod
rests
A,

=
 cm,

=
 cm
and

=
IP
 cm.
• ev
er
inside
the
bo
from
A
to
the
.

ou
e
are
going
to
calculate
the
angle
between
the
rod
and
know
calculate
A

=
by
 cm,
and
we
ythagoras’
A
can



+
migh
t
=
keep
the


=

•
F

+

=

ou
of ten
H


tan
√
=

=
. cm
opp
in
to

d.p.
D
to
use
theo rem
trigo
nom
e try
in
problem
s.


x
displa
y
have

and

but
calcu
lato r
.
ytha
go ra
s’


down
version
,
theorem.


until
write
full
x

off
calcu
latio
n.
C


a
roun
ded
your

of
.
a
e
roun
d
end

=
=
=
ad
.
.



h
ook
x
al
at
the
ometimes
plane.
A
=
or
and
tan
.
t
cuboid
you
will
plane

o
understand
is,
rotate
a
.°
li
A
be
eample,
the
=
asked
we
ad
at
to
might
the
nd
be
to

d.p.
a
pla
start
the
asked
of
this
angle
to
unit.
between
nd
the
a
angle
line
and
a
between
.
which
angle
F
this
e
G
the
cuboid
so

is
PoIn
B
A
1
horizontal.
he
area
of
a
triangle
is
given


by
A
=
ab
sin 

magine
shining
a
light
vertically
E
H
at
the
2
shape.
D
A
would
cast
a
shadow
at
he
angle
and
a
between
plane
is
angle
between
Ar
1
alculate
2
A
the
pyramid
our
One
and

is
the
angle
to
the
plane.
A.
A
a
and
of
triangle
suare
the
base
base
bamboo
is
A
A,
°.
canes
where
are
and
A
a
alculate
used
to
=
top
the
make
 cm,
verte
height
a

.
=
. cm
he
of
support
base
the
for
and
has
angle
edges
A
of
=
 cm,
°.
and
the
angle
pyramid.
A
some
beans.
end
suare
area
has
metre
runner
line
angle
eIon
between
3
A
the
.
perpendicular
he
a
C
of
of
alculate
each
side
the
cane
 m.
angle
is
he
stuck
top
in
the
ground
ends
are
tied
in
the
form
of
a
together.
3 m
A.
B
E
1 m
D
C
1
1
LeArnIng
• se
a
the
h
si
Although
sine,
functions
that
cosine
ul
and
tangent
A
are
ooe
sine
rule
to
angled
calculate
triangles,
formulae
side
can
for
use
be
we
in
used
can
any
in
right
develop
triangle.
c
• se
an
the
sine
rule
to
e
calculate
use
case
angle
a
new
letters
angle
they
to
notation,
label
are
using
sides
after
b
lower
the
opposite.
C
B
a
A
h
si
f
draw
we
two
h
a
perpendicular
rightangled
I
c
ul
tial
A

c
sin
 =

c
sin
 =
b
c
y
using
a
sin
his
he
is
the
sine
include
he
steps
irst
e
eAPLe
label
know
are
. m
the
,
and
perpendicular,
choose
the
b
A
angle
of
long.
e
A,
b,

and
part
.,
 =
sine
rule
both
sides
by
sin

°
with
are
and
going
,
need
the
is
used
sin
when
and
lth
and
to
horizontal,
to
the
nd
nd
the
sides
could
show
and
two

the
length
opposite
of
the
sine
rule
containing
,
b,

a
the
features
we
know
and
want
to
nd
angles.
sid
ith
th
si
ul
steps
of
the
them
make
slide,
as
a,
b
an

=
°
and

=
angle
of
°
with
the
horizontal.
x
and
c

and
c
c
°,

=

sin

x

=

A
sin
.

x


c
=
.
.
2.7 m
x
b
x

. =
.
75°
35°
B
x
1
both
=
sides
. m
by
to
sin
that
c
sin
ultiply
×
rule.
sides
th



sin
=
create
=
sin
.
b
we
c

A

ubstituting
sin
we
b
we
tial
ividing

o
,
1
vertices

at

different
two
idi
an


=
has
I

b
sin
a
sin
slide
meet



child’
s
to
=
D
sin
A
A
b

C
B
ore
from
b
o
a
line
triangles.
sin
the
°
.
nearest
cm
a
C

idi
th
si

a
al
usi
th
si
ul
AII
ecause
an
be
a
triangle
obtuse
aware
angle,
of
the
can
we
y
have
need
values
of
• se
to
your
calculator
to
check
2
sin
that
x
1
when
he
x
is
greater
graph
looks
like
of
y
than
=
sin
°.
0
x
this
x
can
take
between
he
x
=
values
and
ecause

an
lead
of
means
a
°
sin
°
=
sin
°
sin
°
=
sin
°
some
that
sin
that
angle
uestion
sin
x
and
=
an
having
eAPLe
sin
obtuse
more
−
=
values
sin
to
−
show
x.
x.
angle
than
have
one
the
same
sine,
this
eA
frame
is
hen
is
be
ndi
ng
easier
2
to
IP
solution.
rule
triangular
x
graph
it
A
other
2
•
ore
sin
.
the
acute
to
=
1
symmetry
about
can
−
°
x
• ry
in
sin
to
upside
an
turn
angl
e,
the
down
.
made
B
from
he
three
base
piece
and
is
is
aluminium
 cm
welded
the
third
strips.
long,
at
an
strip
is
the
angle
 cm
left
of
x
hand
°
long
c
and
11 cm
a
pivots
e
from
are
the
going
right
to
end.
nd
the
angle
x
56°
when
the
meets
e
o
end
the
left
know
we
A,
of
the
right
strip
ust
A
strip.
a
and
b
and
want
to
nd
b
C
12 cm
.
use
sin
A
sin



=

a
sin
ubstitute
A,
a
and
b
b

sin

x

=


ivide
sin
°
by


sin
x


. =


sin
x
=
.
x
=
sin

ut,
as
sin
x
Ar
1
se
the
the
size
=
sin
.
−
x,
x
=
.°
could
also
be

−
.°
=
.°
eIon
sine
of
rule
to
angle
A.
e
A
calculate
1
PoIn
he
sine
a
rule
is
b

sin
2
alculate
angle
se
the
sine
A

=
sin

sin

.
b
c
3
c

=
rule
to
10 cm
calculate
2
nvert
the
rule
to
nd
an
angle.
the
length
of
c
3
65°
he
sine
and

rule
involves

sides
C
B
9 cm
a
angles.
11
1
h
csi
ul
A
he
LeArnIng
cosine
rule
can
also
be
used
in
any
ooe
triangle.
• se
the
cosine
rule
to
calculate
As
with
the
sine
rule,
lower
case
c
a
b
side
letters
• se
an
the
cosine
rule
to
calculate
angle
label
they
the
are
sides
after
the
opposite.
angle
C
B
a
h
C
csi
sing
apply
a
similar
b
h
diagram
ythagoras’


ul


=
b
−
c
=
b
=
b
b
to

−
the
one
to
both
theorem
x

,
and
we
used


=
a
for
the
rightangled
sine
rule,
triangles
to
we
can
obtain

−
c
−
x
a
o



a
−

x
=
b

−
x
Or
B
A
x
D
(c
x)



a

a

a
=
=
b

−
x
−
x
+
c

+
c
−
+
c
−
cx
x
c



ut
x

2
o
a
his
=
cos
t
can
be

• a
=
• c
c
with
two
use
a,
cs
A
ul
has
three
different
forms,
which
can
be
nd
e
−
bc
cos
A,
−
ac
cos

−
ba
or
c
by
replacing
A
with
,
a
with

the
a
cosine
and
a
cos
rule
the
sid
side
b

by
replacing
when
included
A
with
,
a
ith
th
the
uestion
gives
us
all
angle.
csi
ul
b
in
angle
the
,

triangle
so
A
we
use
ac
cos
the
formula

=
a
+
c
−
=

=

=
.

b


b
+

−

cos


b
−
.

58°
8 cm
12

b

b
C
B
and


c
b
with
c
and
a.
know
9 cm
by
as
A

o
derived
or
+
sides
idi
2bc

+
b
x
diagram.
c

=
e
+
a
with
+



−
written
b
=
b
rule
the


• b
c
csi
cosine
cx
A
+
relabelling

−
2
b
the


2
is
he

a
=
. cm
to

d.p.

with

in
it
three
sides
or
h
csi
aph
AII
he
graph
of
y
=
cos
x
looks
like
this
• se
your
calculator
to
check
y
that
1
cos
°
=
cos
cos
°
=
−cos
cos
°
=
cos
=
−cos
x
0
• ry
1
t
is
a
similar
translated
he
cos
x
=
shape
to
graph
the
has
to
the
of
y
=
sin
x,
but
it
has
is
−
rotational
symmetry
symmetry
angle
between
there
is
the
idi
a
sing
the
map
a

=
b
and
ith
we
about
°
ambiguity
eAPLe


°
same
al
ore
about
x
=
,
values
=
cos 
=
−cos
to
−

show
x
−
x.
been
so
eA
th
,
has
as
a
,
cos
discrete
there
csi
so
is
with
x
=
−cos 
value
sin
of
IP
cos
x,
−
x.
ngl
es
°
be tw
een
have
a
°
nega
and
tive
cosine
.
so
x
ul
1
can
nd
the
angle
A
at
ingston.

+
c
−
bc
cos
A
B
Montego
ubstituting,
other
x
°
x.
very
not
cos
°
°
left.
reection
cos 
graph
•
here
some
that
°
we
Bay
98
get
miles
a
C

 =

+

−

cos
A
Port
85
c


cos
A =

+



cos
A =
−
−
Antonio
miles
b

23
miles
Kingston
A
−


cos
A =
=
−.


A =
Ar
cos
−.
=
.°
eIon
e
A
1
f
angle

=
°,
a
=
 cm
and
c
=
1
 cm,
PoIn
he
cosine

calculate
2
f
a
=
the
 cm,
length
b
=
of
b
. cm
a
and
c
=
. cm,
2
c
calculate
the
size
of
angle
b
.
=
he
all
3
f
a
=
 cm,
b
=
. cm
b
the
is

+
cosine
three
and
rule

c
−
rule
sides
bc
is
or
included
cos
used
two
A.
when
sides
angle
are
and
given.
c
=
. cm,
three
angles.
calculate
all
C
B
a
13
1
icl
arlier
LeArnIng
◦
theorems
Angle
angle
at
at
centre
are
known
=
twice
Angles
◦
angle
properties
of
polygons.
number
the
of
cicl
facts
about
angles
in
a
circle.
hese
facts
are
thms
in
the
same
thms
segment
al
at
th
ct
is
tic
th
al
at
th
cicumc
eual
Angle
in
a
Opposite
of
the
the
semicircle
=
°
n
the
diagram,
circle,
◦
considered
circumference
h
are
a
as
icl
◦
we
ooe
here
• ircle
on
thms
cyclic
and
eterior
whose
A,

centre
and
is

are
points
on
the
circumference
of
a
O.
angles
uadrilaterals
O
is
etended
O
=
AO
as
to
they
,
are
and
angle
radii,
so
AO
=
triangle
x
and
AO
O
is
=
y
isosceles.
o
C
A

ngle
AO=
AO
A

ngle
AO=

A

ngle
AO=
x
=
x
y
−
x
Angles
in
a
triangle
add
up
to
°
x
imilarly,
triangle
O
as
is
AO
+
AO
isosceles,
so
=

O
=
Angles
y,
O
=
on
a

straight
−
y
line
and
O
O
=
y
he
angle
at
the
centre
from
A
he
angle
at
the
circumference
and
,
angle
AO,
is
x
+
y
B
from
A
and
,
A,
is
x
+
y
D
A
o
the
his
D
is
angle
true
Als
at
for
i
the
all
th
centre
is
twice
the
angle
at
the
circumference.
circles.
sam
smt
a
ual
C
n
this
also

diagram,
angles
and
on

lie
A
the
and
A
circumference
share
on
the
the
vertices
same
side
A
and
of
,
and
A.


Angle
A =
AO
Angle
at
centre
=

×
angle
at
circumference
AO
Angle
at
centre
=

×
angle
at
circumference



and
O
angle
A =


so
angle
A =
angle
A.
B
h
al
i
a
smicicl
is
a
iht
al
A
C
n
o
this
the
AO
diagram,
angle
=
at
AO
the
is
a
diameter.
centre,
°.

Angle
A
=
A
of
the
angle
at

the
centre,
so
O
A
=
°
B
1
yclic
uadilatals
AII
f
the
a
uadrilateral
four
vertices
of
hree
lie
of
the
four
angles
a,
b,
c
on
B
and
A
the
circumference
of
d
are
eual.
a
x
circle,
it
is
called
a
• hich
cyclic
what
uadilatal
a
A
is
a
O
three
can
are
you
eual,
say
and
about
the
fourth
b
cyclic
E
uadrilateral.
z
a
y

is
an
Opposite
cyclic
eterior
angles
C
angle.
of
uadrilateral
a
are
D
b
supplementary.
f
A
=
x,
and

=
y,
c
b
=
x
Angle
at
centre
=

×
angle
at
circumference
a
=
y
Angle
at
centre
=

×
angle
at
circumference
b
=
°
Angles
y
=
°
=
°
=
°
and

a
so
x
or
+
+
x
+
y
round
a
d
point
eA
A
+

•
o
the
opposite
angles
of
a
cyclic
uadrilateral
are
supplementary.
hen
ti
iti
a
cyclic
uadilatal
y
=
°
Opposite

y
+
z
=
°
Angles
x
=
z
the
eterior
e
is
angle
of
a
angles
on
cyclic
a
of
a
straight
cyclic
the
t
th
fo r
your
give
answ
er
.
uadrilateral
line
uadrilateral
is
eual
to
the
interior
angle.
PoIn
he
ual
ns
geom
e try
alwa
ys
al
+
opposite
1
ppsit


x
so
o,
al
so lvin
g
problem
s,
reaso
h
IP
angle
Ar
at
the
centre
=

×
the
angle
at
A
centre
Angles
3
he
in
the
a
same
segment
are
in
a
semicircle
is
a
with
O.
eual.
alculate
angle
A
cyclic
uadrilateral,
circumference.
2
is
eIon
right
angle
angle.
1
A
2

O

Opposite
angles
of
a
cyclic
uadrilateral
are
160°
supplementary.
3

he
eterior
angle
of
a
cyclic
uadrilateral
O
B
is
55°
eual
to
the
interior
opposite
angle.
D
C
1
1

ats
ere
LeArnIng
we
will
◦
the
to
◦
theorems
tangent
the
the
relationship
chds
between
ooe
tangents,
• ircle
study
ad
• A
is
perpendicular
tat
touches
radius
tangents
radii
a
entering
from
a
point
and
is
a
chords.
line
circle
that
ust
without
it.
are
• A
chd
is
a
line
oining
two
Radius
Chord
eual
points
◦
alternate
segment
◦
line
centre
the
circumference.
theorem
• A
from
on
of
adius
is
a
line
circumference
to
midpoint
of
perpendicular
chord
to
from
the
circle
to
the
centre.
is
T
angent
chord

at
• he
angle
contact
• rom
• he
• he
is
between
a
tangent
and
the
radius
at
the
point
of
°.
any
point
tangents
hd
AII
pptis
outside
from
a
a
circle,
point
to
there
are
are
two
a
circle
the
circle
to
the
perpendicular
to
the
tangents.
eual
in
length.
pptis
line
from
midpoint
of
the
a
centre
chord
is
of
A
chord.
• he
perpendicular
circle
to
the
chord
from
the
bisects
centre
the
of
a
chord.
C
O
D
h
A
altat
chord
splits
a
smt
circle
into
two
thm
segments.
B
he
diagram
shows
a
tangent

and
a
chord
A
at
the
point
of
contact.
1
n
the
diagram,
centre
of
diagram
the
to
alternate
O
is
circle.
the
se
the
demonstrate
segment
the
he
angle
between
calculating
is
in
the
and
altat
smt
to
the
angle
between
a
tangent
and
chord
is
eual
angle
the
alternate
segment.
AO
A
AO
AO
A
2
epeat
angle
uestion
A
=
1,
but
with
C
°.
a
D
3
epeat
angle
uestion
A
=
1,
but
with
a
x.
B
1
angle
A,
chord.
theorem
• he
by
A
tangent
to
the
angle
in
lvi
here
are
plms
many
theorems.
to
be
he
used
ith
problems
theorems
together.
cicl
that
from
Always
can
thms
be
.
posed
and
annotate
using
those
a
the
presented
diagram
to
eA
circle
here
mark
any
need
•
IP
an
y
of
the
circle
are
deriv
ed
angles
theo rem
s
obtained.
from
the
centre
ore
eAPLe
angl
e
=

×
1
at
the
angl
e
at
circu
mfer
ence.
A
is
a
cyclic
• T
he
A
uadrilateral.
tang
ent,
and

is
,
a
tangent
and

is
high
ligh t
a
the
sym
me try
circle
s.
line.
•
radius
pro pe
rties
at
of
straight
chord
T
he
alter
nate
segm
ent
Angles
theo rem
A
=
comm
only
33°
=
°
=
ak
e
sure
alculate
13°
a
angle
A

angle
A
c
angle

•
70°
rstand
remem
ber
C
hen
use
it
three
fo rm
at,
and
it.
writi
ng
the
tten.
you
°.
unde
1
fo rgo
and
D

most
°,
B

is
i.e.
an
angl
e
le tter
angl
e

G
no t
2
rove
that
A
is
a
angl
e
.
diameter.
luti
1
a
A
=

interior

A
=
angle
c
2
=
°
opposite

in
the
=
eterior
°
angle
alternate
A
=
A
−
A

=
A
=
°
A
o
=
A
A
is
a
+
angle
of
a
cyclic
uadrilateral
=
angle

diameter
between
=

−
angles
=
tangent
and
chord
=
segment

angle
+
in

in

a
=
the
=
°
same
segment
are
eual
°.
semicircle
=
°
e
1
PoIn
he
to
Ar
tangent
the
is
radius
perpendicular
at
the
point
of
eIon
contact.
A
are
points
on
a
circle,
A
2
centre
O
and
radius

angents
from
a
point
are
 cm.
eual.

and

are
tangents
to
B
the
circle

=
such
5 cm
that
3
he
angle
and
a
between
a
tangent
O
 cm
and

=
°.
the
chord
angle
in
is
eual
the
to
alternate
alculate
segment.
1
the
length
of
O

2
the
size
of
angle
A
3
the
size
of
angle
O.
C
he
a
line
circle
chord
12 cm
D
from
to
is
the
the
centre
midpoint
perpendicular
of
of
to
a
the
chord.
1
1
cts
ectors
LeArnIng
represent
movement,
and
are
used
in
transformation
ooe
geometry
• nderstand
the
concept
of
here
to
are
dene
three
a
translation
common
ways
see
of
..
representing
a
vector.
vectors

• he
vector
from

to

can
be
written
as
a
column
vector,
(

• ombine
vectors
triangle
or
›
• t
parallelogram
can
and
also
be
written
as
written
as
,
the
arrow
indicating
the
direction
law
from
• Add
)
−
subtract

to
.
column
• t
can
also
be
.
ecause
we
cannot
easily
write
in
bold
vectors
type,
• nderstand
and
use
when
answering
uestions
we
indicate
a
vector
by
writing
k
∙
vector
olumn
vectors
number
represents
follow
the
conventions
of
coordinates.
he
rst
algebra
• press
a
point

a,
b
as
a
horizontal
direction
and
the
second
number
a

position
represents
vector
a
vertical
direction,
so
(
means
)

to
the
right
a
−
• etermine
direction
the
of
a
magnitude
negative
and
number
vector
number
is
owever
,
y
specic
indicate
signies
and
left,
a
and
downward
vectors
have
vct
epresents
B
it
coordinates
lum
6
would
negative

down
because
the
movement.
completely
different
properties
diats
movement
magnitude
or
of
a
as
size.
no
point
movement
which
–
remains
it
signies
static,
a
and
5
k
has
no
size.
l
C
4
as
a
denite
direction.
as
no
movement
therefore,
no
and,
direction.
m
as
no
position
–
there
n
innite
number
of
1
as
a
dened
one
position.
point
,
here
is
−.
vectors.
−
0
2
an
only
)
(
1
3
are

x
1
2
3
4
5
Psiti
vcts
1
Psiti
vcts
give
the
vector
from
the
origin
to
a
point.
2
a
o
the
position
vector
of
the
point
a,
b
is
(
)
b
Additi

vcts

he
movement
from
A
to

is
represented
by
the
vector
)
(
,
and
the


movement
from

to

by
(
)
−
Adding
the
horizontal
components
+

to
=
terms,
moving
+
(
)
=
moving
from
from
A
to
A
)
(
−
,
or
A.
to

and
then
from
.

›
›

−

=

)
(
−

(

)
=
(
−
)



›
ubtracting
1

get

imilarly
A
we


)
(
directly

components
›

vector
vertical


n
the
›
›
A
and


›
has
the
same
effect
as
adding
.

to

is
identical
h
tial
la
ad
paalllam
y
la
6

o
add
two
vectors,
we
can
complete

add
triangle
or
a
parallelogram.
›
›

o
a


A,
(
5

and
)
,
draw
)
(
−
the
two
vectors
endtoend,

C
4
and
complete


+
his
›

is
triangle

›
›
A
the
=
A
3
A.
the
triangle


law
for
addition
of
vectors.
1
›
›
B

o
add
A
and
A,
complete


parallelogram
A.

›
›
the
›
0
A
+
A
=
diagonal
3
A.
2
x
1
1
2
3
4
5
1
his
is
the
parallelogram
law.
2
y
6
AII
C
5
• raw
4
four
D
3
your
own
points
• rite
A,
down
A,
• Add
the
A
B
0
3
2
1
2
3
4
+
A.
+
• rite
your
down
vectors
2
• hat

a
the

is
vct
a
vector
can
be
found
column

›
›
,
A.
connection
the
column
vector


using
,
the
between

of
A.

›
A,
›
size,
›
+
answer.
›
dicti


5

ad
vectors
›

plain
x
1
1
or
›

›
›
magnitude,

,
column


he
column
›
,
mark
.
2
A
maitud
and
and

›
›
h

the


vectors
grid,
,
›
and

ythagoras’
theorem.
a
he
vector
(
)
has
a
horizontal
component
b
of
a
and
a
vertical
component
of
b,
so
the
eA


magnitude
is
+
b
.
b
•
he
angle
the
IP

√ a
vector
makes
with
hen
you
the
squa
re
a
ϴ
nega
b

horizontal,
θ,
is
given
by

tan
answ
er
is
ectors
have
2
ectors
can
magnitude
be
subtracting
added
the
or
and
direction,
subtracted
horizontal
but
no
ed
algebraically,
components,
and
position.
by
the
adding
Ar
eIon
vertical

components.
f
a
=

)
(
,

=
−
3
ectors
can
be
added
graphically
using
the
triangle
law
of
parallelogram
position
from
the
=
(
vector
origin
to
magnitude
of
)
and

)
,
nd

law.
x
he
(
−
the
c

the
positiv
e.
PoIn
1
or
num
ber
,
a
a
e
tive
of
x,
x,
y
is
(
y
)
,
and
represents
a
1
a
+
2
c
3
he

movement
−
a
y.

x

he
(
y

)
is
√x
magnitude
of
d,
where

+
y
and
the
angle
with
the
a
+

+
d
=
c
y


horizontal
is
tan
x
1
2
ct
ultiplyi
LeArnIng
a
vct
y
a
scala
subtracted
vectors.
ooe
n
• ultiply
mty
a
vector
by
a
.
we
added
ultiplying
• nderstand
the
and
scalar
meaning
two
vectors
makes
little
sense,
but
we
can
multiply
a
of
vector
by
a
scala
or
a
single
number.
collinearity

• se
vectors
to
solve
problems
or
eample,


(
)
,
or

times
the
vector
(

in

)
,
=
)
(


geometry

his
is
the
same
as
(

)
+
(

o
the
resultant
vector
,
and
vector
goes
in
has
the

+
)
(

three
same
)

times
the
direction,
so
magnitude
is
parallel
to
of
the
the
original
original
vector
.
enerally
x
n
(
y
nx
)
=
(
)
ny
AII
a
x
(

y
)
and
n
triangle
A,
A
=
of
›

A
and
=

if
(
y
)
=
(
(
y
a
=
)

)
(
b
,
and
the
magnitude
b
a
x

and
parallel
b

a
x
are
)
(
›
)
is

times
the
magnitude
of
)
(
b
y
are
the
midpoints
of
A
lliaity
and
A.
hree


=
points,
A,

and
,
are
said
to
be
cllia
if
they
lie
on
a


straight
line.
C
C
y
B
E
3b
b
A
y
F
a
D
2a
E
D
x
x


›
n
ind,
in
terms
of


diagram,



o


›
A
d
show

›
›

A

that

=
a,

›
›
=
a,

=

and

=

,
where

is
the
midpoint
A,
+


A
=
and
a

are
collinear
+

+


›
›
A

=

›


›
A
›
of
›
=

›

›

A
›

c
the
y,

›
a
and


+

=
a
+
a
+

=
a
+

=
a
+


›
›

›

ow

o
A
o
A,
=
A,
can
are
you
tell
that
A,

A
and
A
are
parallel
and
both
pass
through
A.

and

are
collinear.
and
collinear
lvi
he
key
notation
e
use
prove
vct
to
geometry
1
so
A
solving
and
the
a,
vector
algebra.
eplains
general
plms
,
what
c
A
problems
labelled
we
are
notation
statements
is
to
see
diagram
them
is
as
a
essential,
combination
and
doing.
for
vectors
rather
than
as
we
are
calculate
often
eact
of
algebraic
trying
values.
to
ore
A
he
is
a
eAPLe
1
triangle.
position
vectors
of
A
and

are
a
and
,
respectively,
and

›
A

=
is
a
a
the
ind

+
i

ii


midpoint
the
in
how
of
A.
position
terms
that
of
O,

vector
a
and
and
of


are
collinear.

›
c
ind

in
terms
of
a
and

luti
tart
with
a
diagram
eA


›
a
i
O
=
IP

›
OA
C
›
+
A
a
+
2b
• lwa
ys


=
a
+
a
+

=
a
+

A


›
O
=
seem

›
›
• ak
D
ii
check
answ
ers
OA
+
e
sure
you
A

direc

›
›
tion
into

=
OA
+
a
A
that
your
realis
tic.
take
accoun
t.
B



›

›
›

=
OA
+
AO
+
O

b

=
a
+
−a
+

O


=

a
+



=
a

+




›
›


O
=
a
+

=

a
+

=
O

O

and
are

are

›
c
O


›
O
=
−
=
a
is
both
passing
through
O,
a
+
OA
O,

and
+
+
a
›
+
+
A
a
+


eIon
trapezium,
with
e
A
parallel
to
and
twice
the


length
of
.
=
,
and
the
diagonal
A
=
ind,
in
terms
of
a
and

,

y
nx
)
oints
on
the
A
c

3

o
A
intersects

at
,
so
that
(
ny
are
)
collinear
same
prove
that
2
=
if
straight
they
lie
line.
›
›

(


›
a
n
a
2
1
PoIn
x
1
›
›
A
so

›
=
Ar
A
parallel,
collinear.

=
collinearity,
vectors
are
show
multiples


›
ind

of
in
terms
of
a
and
each
other
and
so
are

parallel

and
have
a
common
›
3
ind
A
in
terms
of
a
and

point.
11
21
atics
atics
LeArnIng
ooe
A
• nderstand
concepts
mati
hey
matrices
concept
of
column,
order,
• Add
have
a
rectangular
array
of
numbers.
graphics
in
to
the
real
enable
a
world.
or
eample,
dimensional
they
image
to
are
be
used
drawn
types,
a
dimensional
subtract
matrices
ere
we
show
matri
is
screen.
use
and
• ultiply
applications
computer
on
practical
matics
matri,
in
row,
plural
of
matrices;
by
scalar
commutativity
focus
we
on
use
how
them
to
in
manipulate
matrices,
and
.
will
transformations.
multiply
non
of
will
how
A
matri
A
row
is
described
by
the
number
of
s
and
clums
it
has.
matri
is
horizontal,
a
column
is
vertical.
multiplication
• he
determinant
and
inverse
o

−



−
is
)
(
a

by

or

×

matri.
matri
he
column
ati
Only
vectors
additi
matrices
omponents
of
in
we
ad
the
the
considered
in
.
are

×

matrices.
sutacti
same
same
size
can
position
be
are
added
added
or
or
subtracted.
subtracted.
o


−



−

+
)
(


−
−

−
−

)
(
=
−
+


+

−
+
−

+
−
)
(
=


−
−
)
(
and
−
)
(
ultiplyi
a
A
be
matri
by
the
can



−
)
(
ultiplyi
the
o
=
t
matri
by
numbers
number
of
a
we
will
resultant



−
−


−
−
−
−
−

−

)
=
−


−
(
)
a
scalar
by
multiplying
each
component
)
(
matics
all
of
he
ore
involves
the
components
can
be
only
an
eAPLe
multiply
multiplying
components

a
a
c
a
of
row
column
an
all
a
of
of
a
the
the
the
×
b

atri









−
(
of
rst
)
the
in
a
second
matri
second
matri
1
A
components
column
matri.
)

in
multiply
×
atri

in
(
12
−
(
scala
by
components
Algebraically,

o
y
multiplied
multiplication
rst
the
the
mati
=
scalar.

atri
)
(
must
row
of
matri.
match
matri.
by
a
b
×
c
matri.
AII
ultiply
column
the
of
components
matri
,
and
of
the
add
rst
the
row
of
matri
A
by
the
rst
results
atri

×

+

×

+

×

=
.
his
goes
column
irst
row,
second
column

×

in
of
+
the
the

×
rst
row,
answer.

+

×
• f A

=
=
econd
row,
row,
Answer
h
he
rst
second




identity
for
column
×


×

+

+
×


×
+

−
+
−
×

×

=
=
=
A

×
not









)
,
,
and
nd

×
mati
for
diagonal
eA
an
of

s
×
n
from
matri
top
is
left
an
to
n
×
n
bottom
A
matri
of
zeros


eample,
)







−
(

(



)
=


−



IP
• at
ri
multip
licat
ion
is
right.
no t
or


)
(


matri
a

is
)
(
idtity
ecept
column

(


econd
multiplication
commutative.
rst
comm
utativ
e.
)
(

AII
h
f
ivs
the
matri
ad
a
b
c
d
(
dtmiat
is
)
multiplied

a
2
d
−b
−c
a
2
mati
• how
),
(
by
×
the
resultant
of
ad
−
bc

),
(

ad
−
or
ad
−
bc




(
)
bc
,
where




(
)
is
the
the
inverse
of

b
(
c
d

)
ad
−


• rite
−
bc
is
called
the



)
(
.
the
inverse
matri
.
a
dtmiat
of
the
that




multiplied
)
(
matri.
its
inverse
is




(
)
.
PoIn
• hat
1
determinant
bc
by
e
is
down

• how
ad
the
)
)
−c
d

identity
.
−b
(
is

(
of
a
o
that
is
An
n
×

matri
is
a
rectangular
array
the
of
happens
inverse
by
if
you




multiply
)
(

numbers.
2
atrices
or
of
the
subtracted
same
by
corresponding
size
adding
can
or
be
added
subtracting
Ar
A
3
An

n
×
×


matri
matri
to
can
be
multiplied
produce
an
n
×

by

o
multiply
matri
is
second,

he
two
multiplied
and
the
identity
matri
other
matrices,
for
he
an
containing
of
ad
−
bc
×
from
is
the
=
)

(
rst
the
an
s,

the

n
with

=

−


)
(
,
)
,

=

−



−
)
(
−
1
×
,
ome
of
n
the
a
A
−
d
A
these
or
can
those

be
calculated;
that


+

A
can,
nd

others
the
answer.
c
A

A
.
d

d

−
cannot.
matri
of



added.
n

(
matri.
from
column
b
)
is
row
diagonal
all
(
c
where

a
components
inverse
a
answers
a

by
a
=
an


eIon
components.
−
bc
determinant.
ind
the
3
oes
inverse
matri
of

),
−c
ad
2
−b
(
is
a
this
A
+

=
A
+

hat
do
we
call
property
13
22
atics
ad
tasmatis
atrices
LeArnIng
can
be
used
to
produce
transformations.
ooe
rctis
• etermine
associated
the

with
×

matri
he
specic
green
ag
has
vertices
at
−,
,
−,
,
−,

and
−,
.
transformations
−
As
• etermine
the
representation

×
of

the
position
these
can
be
written
as
result
−
,
of
as
a

×

matri,
P
−
−
−
−




)
we
multiply
this
by
(
−
)

and
)
(


)
(
transformations
f
−
,
(
)
(

or,
two
vectors,
matri
matri,
,




)
(
,
we
arrive
at,
P
=
P′
y




−
−
−
−




) (
(
6
=
)




−
−
−
−
)
(
5
he
four
columns
he
matri
4




are
position
produces
)
(
the
a
vectors
reection
of
in
the
the
red
line
ag.
y
=
x,
3

and
)
−
1
he
x
3
2
−
(
2
1
1
2
3
4
produces
the
line
y
=
−x

matri
produces
−



a
produces
)
(
reection
in
the
x
a
reection
in
the
y
ais,
and



−
)
(
ais.
5
1
rtatis
2

o
rotate
rotation
eA
•
T
o
and
produ
ce
A
these
trans
form
ation
matri
is
writt
en



)
is
matri
an
−


produces
)
produces
by
a
°
the
a
°
clockwise
matri
anticlockwise
rotation.
−


−
)
(
−sinθ
produces
)
(
sinθ
through

(
produced
cosθ
he
origin,
−
rotation
we
alwa
ys prem
ultip
ly – th
at
the
°
the
(
IP
trans
form
ation
s,
is,
about
an
anticlockwise
rotation
cosθ
angle
of
θ
rst.
Ivss
f
we
the
reect
same
a
shape
mirror
reections
are
line,
in
a
mirror
line,
we
return
to
slivs;
the
and
the
then
starting
inverse
of
a
reect
point.
the
image
his
reection
is
in
means
the
that
same
reection.
elamts
e
know
that
the
identity
matri
is




)
(
.
An
enlargement,
n
the
origin,
scale
factor
n
is
produced
by
the
matri
(

miatis
n
the
the
centre
1
diagram
yais
to
the
on
give
origin,

the
the
by
centre

n
)
tasmatis
net
red
page,
image.
scale
factor
the
he

to
green
red
ag
ag
has
has
produce
been
then
the
blue
reected
been
in
enlarged,
image.
AII
• how
the
that
origin,
the
is
inverse


−

of
a
)
(

−


,
a
)
(
°
°
clockwise
anticlockwise
rotation
about
rotation
the
about
origin.
y
he
matri
for
the
position
vectors
of
the
green
ag
is
6
−
−
−
−
)
(




5
he
reection
is
achieved
by
the
operation
4
−



−
−
−
−




) (
(
=
)








)
(
3
2
he
enlargement
is
represented
by
1












) (
(
=
)








)
(
0
3


his
could
be
written
as

−
) (
(

−
−
−
) (



x
1
1
2
3
4
5
1
)


2
−


2
ultiplying




the
two
transformation
−



) (
(
=
)
−



matrices,
)
(
eA
his
is
the
single
transformation
that
maps
the
green
ag
to
the
•

−
−
−
−
−
) (
(


=
)






)


hen

(

IP
blue


combi
ning
matric
es
fo r
two
trans
fo rm
e
the
saw
in
order
.
is
a
matri
important.
transformation
put
that
matri
matri
after
e
in
multiplication
produce
front.
another
it
is
his
is
not
commutative,
transformations
is
called
called
by
putting
premultiplying.
ation
s,
so
prem
ultip
ly,
the
hen
so
trans
fo rm
ation
we
righ t
postmultiplying.
of
the
we
the
is
rst
on
the
second
.
AII
• raw
of
your
the
• se
• ind
own
vertices
your
the
own
shape
as

inverse
a
×
on
a
single

matri
matri
grid,
and
write
the
position
vectors
matri.
and
to
transform
check
it
your
reverses
shape.
the
transformation.
e
1
PoIn
ome
can
Ar
reections,
be
dened
rotations
by
a

×

and
enlargements
1
matri.
raw
,
.
eIon
the
triangle
abel
ransform
2
f
matri
obect
using
P
A
performs
then
AP
=
the
a
transformation
image
P′
can
be
on
f
matri
A
obtained
performs
can
matri
be
matri

a
transformation,
transforms
replaced
A
vertices
raw
the
,
,
,

and
with
the
matri
image,
and
label


−

(
it
)
.
P′
ransform
and

−


(
then
it
with
A.
an
2
3
it
by
the
the
single
image,
A
and

transformation
3
)
ind
the
escribe
.
the
image
raw
single
fully
the

new
matri
this
with
the
image,
that
matri
and
label
transforms
A
it
to
.
.
transformation.
1
23
ati
lvi
LeArnIng
in
matrices
to
arithmetic,
geometry
to

×
simultaus
solve
algebra
linear
is
a
pair
of
simultaneous

−
y
=

euations
e
he
o



−
y
=

can
write

−

−
these
euations
x
) (

y
the
−

=
)
inverse
(
of
−

−

)
(

−

−
a

the
in
matri
the
−

the
your
inverse
both
sides
−

−

of

−

−
) (
(
answers
are
each
the
−
euation
x
) (
matri.
−
−
by
the
×

=
−.
inverse
matri




y
)
=
−
x
) (
y
−

−


) (
(
)

−
)
=
−
(
)

the
he
for
×
is
(
same

to
bottom
row
heck
=
)
(
)
(
by
)
manipulating
using
euation
−
produce

matri

matri
remultiplying
a
a

=
)
y
determinant
as
euation
x
) (

matri
euations
up
AII
(
matics
and

the
ith
problems
(
• olve
uatis
ooe
ere
• se
ala
lefthand
side
can
be
simplied
because
a
matri
multiplied
inverse
euals
the
x
(
y
=
uppose
f
the

(
=
e
)
,
y
th
the
and
a
b
c
d
=
−
mati
points
′,
matri
that
are
going



)
use
7
determinant
matri
and
,

get
a
tasmati
transformed
by
a
matri
this
transformation



−
is
a
b
c
d
),
(
then
)
(
inverse




)
(
=
matri.

×

−

×

=
,
so
the
inverse
is

6
of
=
an
y
he

pducs
respectively.
produced

to
that
A,
−
) (
(


−
−

)
(

5
ostmultiplying
both
sides
of
the
euation
by
the
inverse
gives
4
a
b
c
d
2




) (
(
B
3
a
b
c
d


−
−


)




) (
(
×
)
(

.
−.
−.
.
)
) (
=
=



−


−
−


)
(



−

−

−
×
)
(

.
−.
−.
.
) (
(
)
A
1
A
a
b
c
d
)
(
0
1
B
1
1
=
(
)
x
1
its
matri.
−
idi
A′,
identity

)
x
2
by
method.
3
4
5
e
have
found
the
matri
that
produces
the
transformation.
to
lvi
nverse
hey
mati
matrices
allow
us
plms
are
to
very
useful
simplify
when
matri
solving
euations
as
problems.
shown
in
the
above
eample.
ore
eAPLe
1
eA
a
ind
the
matri
such
)
c
• em
embe
r
a
b

)
) (
(

−
that
d
−

c
=
(
)
d

−
•
inverse
matri
of

)
(
is
−

−
or
)
(

−

matri
by
)
(


−
its
we
premultiply
−
−
−
−
both
sides

−
−

)(
(
of
the
a
b
c
d
a




=
by
−
−
−
−
=
inverse


−

)(
−
)
the
•
−
−
a
b
−
−
c
d
−
−
the
the
or
depend
ing
positio
n
matri
)
d
rem
ultip
ly
on
−
c
=
matri
.
postm
ultip
ly
)
(
e
−
−
(
b
) (
(
euation
)
) (
no t
multip
lied
invers
iden
tity
o
matri
is
comm
utativ
e.
−

that
multip
licat
ion

luti
he
IP
b
(
you
of
need
the
to
elim
inate.
)
(
emember
nd
the
that
matri
a
b
c
d
multiplication
a
b
c
d

−
−

)
(
such
) (
(
we
matri
would
)
postmultiply
a
b
c
d
such
)
(
a
b
c
d
by


−

commutative,
the
inverse

−
−

−
−
−
−
) (
)
a
b
c
d




)(
)
a
b
c
d
)
=
=
=


−

−
−
−
−
)
) (
(
−
−


−
−


)
(
)
(
Ar
euations
1

ax
+
by =
,

cx
+
dy =

can
be
a
b
c
d
ows
rows
3
he
written
(
can
can
y

a



) (
(

)
=
(
)
,
nd
a
and
b.

b
2
a
matri
olve
euation

the
x
−
simultaneous
y
=

y
=
−
euations

=
)
be
or

x
)
(
−

be
inverse
algebraic
f
eIon
and
as
x
)
(
2
to
matri
PoIn
he
so
)
(
1
not
that
(
(
e
is
)
(
that
) (
(
=
=
multiplied
added
matri
by
a
together
is
very
geometric
constant,
or
useful
and
subtracted.
when
3
ind
,
the
−
matri
to
,
that
maps
,

to
−,

and
−.
solving
problems.
1
dul
1
alculate
diagram
the

angles
below,
Pactic
marked
stating
the
a,
b
and
c
in
the
am

reasons.
A
regular
is
heagonal
attached
heagonal
as
ustis
to
a
pyramid
regular
prism
shown.
104°
a
a
ind
the
faces,
number
edges
vertices
the
of
and
solid
b
possesses.
c

ind
the
number
of
47°
planes
for
2
A
regular
ow
polygon
many
sides
has
has
interior
the
angles
of
of
the
symmetry
shape.
°.
polygon

A
picnic
table
has
a
symmetrical
side
view
as
shown.
3
An
obtuseangled
isosceles
triangle
has
an
alculate
angle
of
°.
alculate
the
size
of
the
angle
a
between
the
leg
and
the
other
horizontal.
two

angles.
 ithout
angle

A
of
he

a
foot
feet
a
protractor,
construct
an
1.4 m
°.
foot
against
is
using
ladder
leans
vertical
of
the
from
1.1 m
wall.
ladder
the
a
bottom
of
the
wall.
1.9 m
ow
wall
far
up
does
ladder
the
the

reach
n
triangle
A

a
otate
,
.

eect
c
hat
maps
triangle
abel

is
A
in
the
the
A
the
°
line
single
onto
anticlockwise
image
y
=
=
A,
 cm
angle
and

A
=
=
°,
 cm.
about
a
alculate
the
length
of
A.

alculate
the
size
angle
c
alculate
the
area
.
.
abel
the
transformation
image
of
A.
.
of
the
triangle
A.
that

1
A
garage
has
a
base
. m
long
and
. m
y
6
wide.
t
tall
the
at
is
diagonal
. m
tall
highest
at
the
point.
support,
as
sides,
he
shown
and
roof
by
a
. m
contains
broken
line.
5
alculate
the
angle
between
the
4
support
and
the
horizontal.
3
A
2
1
1.8 m
2.6 m
0
3
2
1
x
1
2
3
4
5
1
2
1
5.5 m
a
wooden


›
›
11
A
ship,
sailing
towards
renada,
is

miles
13
A
is
a
pentagon.

est

miles
of
uadeloupe.
uadeloupe
orth
of
what
bearing
is
the

=
,
›
=
a
and

=
a
+

renada.
rove
On
a,
is

due
=

›
due
A
ship
that
A
and

are
eual
and
parallel.
sailing
D
Ship
420
miles
Guadeloupe
a
+
b
2a
E
N
280
C
miles
b
Grenada
12
A

and
is
a

are
point
on
tangents
the
to
a
circle,
circumference
centre
such
a
O.
that



›
›
›

angle
AO
=
°.
Angle
A
=
1
°.
f
A
=
−
and
)
(
A
=
(
)

a
alculate
your

A,
giving
a
reason
for
A,
giving
a
reason
for

column
1
f
angle

as
a

vector.
A
=



−
)
(
and

=
−



(
)
,
answer.
a
c
write
answer.
alculate
your
angle
,
plain
why
AO
is
a
cyclic
ind
uadrilateral.
i
A
ii
A

B
,
the
inverse
of
A

iii
C

,
the
inverse
of


iv
A
,
the
inverse
of
A
O


how
that

A


=
A
D
75°
A
1
Further
1
Lionel
type
put
carried
of
pizza
the
out
a
survey
people
results
in
a
in
bar
to
his
nd
class
out
liked
exam
what
best.
practice
b
alculate
c
rite
the
surface
area
of
1
the
cuboid.
He
down
the
dimensions
of
a
different
chart.
cuboid
with
the
same
volume.
16
14
5
12
he
table
minutes
shows
of
the
people
waiting
times
catching
a
in
bus.
ycneuqerF
10
Waiting
time
(minutes)
Frequency
8

to



to



to



to



to


6
4
2
0
Cheese
and
Ham
Pineapple
Mushroom
tomato
Pizza
types
a
a
Five
children
entry
for
chose
pineapple
pineapple.
that
Draw
should
go
the
in
a
histogram
show
this
information.
rite
down
the
modal
class
for
these
chart.
waiting
b
to
the
b
bar
Draw
How
many
more
children
chose
cheese
and
c
tomato
than
chose
times.
ne
of
these
passengers
is
chosen
at
mushroom?
random.
c
f
the
same
chart
information
what
angle
was
would
be
shown
used
in
for
a
pie
hat
ham?
is
the
passenger
d
he
probability
waited
probability

that
this
minutes
that
a
or
less?
passenger
selected

2
Here
are
the
marks
of

children
in
a
at
test.
random
is
male
is

i












selected
ii
a
How
at
many
random
males
is
in
the
survey?
alculate
i
the
range
ii
the
median
iii
the
mode
iv
the
mean.


a
omplete
this
x
table
−
for
−
y

o
pass
the
+

x



you
needed
to
score


at
−
.
hat
the
x

test
+x
least
=
−
x
b
female?
were
percentage
of
the
children

passed
y
=
+
x
x
−
test?

b
Draw
of
3
a
c
ii
x
−
a
ork
−
b
out
g
=
rite
+
the
a
+
to

y
=
and
x
y
+
x
from
for
−
values
to
.
ork
down
value
the
minimum
ii
the
euation
the
same
of
f
+
g
when
f
=
of
of
the
y
ais
of
symmetry.

n
aes
draw
the
graph
of
−.
out
the
volume
of
a
cuboid
=
se
x
+
your
 cm
wide
and
 cm
high.
.
graph
to
 cm
solve
the
simultaneous

euations
long
value
b
e
180
−
i
y
a
from
of
x
d
and
4
graph
implify
i
b
x
the
y
=
x
+
x
and
y
=
x
+
.

7
Solve
a
5y
the
−
equations:
3
=
10
27
a
b
rite
i
5
in
o
b
11x
−
3
=
4x
+
the
5
a
T
o
2
in
make
pastry,
our
an
utter
are
the
ratio
T
o
the
to
make
the
hat
that
,
5 
o
the
oul
our
is

the
loest
ommon
multiple
o
5
an
7
a
varies
Trapeium
ontains
5 
orret
possile
ontaine
amount
in
the
o

is
ran
on
a
the
area
o
5,
b
ith
=
the
square
o
b

a
in
b
alulate
a
hen
b
=
3
c
alulate
b
hen
a
=
45
an
equation
onnetin
a
an
b
arton
1 m

is
square
trapeium
the

an
out
=
pastry
ri
ork
inversely
a
neee
5 
least
e
muh
pastry
pastry
nearest
is
ho
o
12
a
ator
7
7 : 4
nearest
paket
to
9
ommon
ators
mie
hen

prime
=
11

o
2
in
b
hihest
an

8
prout
x
__
+
3

a
18
ii
x
__
c
as


is

is
lie
a
nle
entre
an
o
a
isoseles
on
the
tanent

=
irle
trianle
irle,
to
the
suh
an

irle
at
that
=
,



5°
y
a
alulate
anle

b
alulate
anle

c
alulate
anle

d

A
the
the
raius
area
o
o
the
the
irle
shae
is
8 m,
alulate
setor
x
A
B
O
b
otate

°
antilokise
aout
the
E
oriin
ael
the
imae

56°
c
eet

d
esrie
in
the
x
ais
ael
the
imae

C
that
ully
maps

the
onto
sinle
transormation
D

urther
eam
pratie
an
e
oun
online:
oorseonaryom781841452
181
Answers
Module
1:
Summary
1.12
questions

1
e
simple
interest
is
better
b
1.45
13
90
14


minutes
or
∅,
a,
b,
c,
a
b,
a
c,
b
c,
1.1
320

1
a
natural,
b
irrational
integer,
318.55
square

2
4900.17

3
7
15
a
b
c
36
students
1
c
natural,
integer,
d
natural,
prime,
even,
ears
7
square
S
e
integer
f
none
integer


2
2
and
2:
alculator
1.13
1
a
4.27 m
b
330 ml
1
38.25

2
8

3
2000

4
207.79

5
3n

6

7
72

8
a

9
4021.79
1

3
5
c

2400 g

2
12–13

3
a
i
miles
b
138
1.2

1
a
12

2
a

3
2039
b
60
42
b
c
180
6
c
d
90
1055
ii
6
d
+
2
1313
2
minutes
3
180
1.14

1

1
a

2
4.68
2.57

3
10.65
b

2
15 028

3
51.75
3
1.15

1
672
b
674.92
18 785
1.3
A
=
square
10
3
boos


12.99

5
penils

0.35
ea
=

1.75

2
notepads

1.75
ea
=

3.50

2.5
=
11.25

ubtotal

ales


litres
paint 
ea =
4.50litre
38.97
numbers
1.4
3

1
B
=
multiples
o
3
C
=
multiples
o
4
D
=
multiples
o
5
and
55.47
a
4
ta

15

8.32
1
b
13
2
1
c
5

2
A

3
e
11
637
12
a

c
t
63.79
D
2
1

2
7
blos
ill
be
needed
8
(
1
÷
1
4
=
6
4
2
are
equal
and
)
5
1.16
23
a
b
45
c
2
3
 ∅

1
4,
16

2
3,
4,

3
12
Cricket
0.575,
10

empt
Football
3
1
is
13
1.5

b
innite.
40
35
o
45
is
15.75,
0.75
6,
8,
9,
12,
15,
16,
20
more
8
3
tan
o
40
8
1

3
1.17
28
out
o
196
6
7

1
ilip
is
A
⋃
B
,
ntia
is
A
⋂
B,
oel
1.6
is

1
35

2
82.80

3
a

184
b
160

2
A
⋂
B
a
B
is
a
subset
b
B
⋂
C
is
te
o
A
null
14
a
17 800
b
18 350
15
a
alse
b
rue
c
alse
d
rue
set.
3
16
USA
9610
inome
ta
+
3000

Girls
=
12 610
=
22.9
1.7

1
18

2
30 000 m
and
27
7
3
4
13
3
o
ement,
90 000 m
o
Module
gravel
2:
Summary
questions
12
2.1

3
1.846
… m
2
4
girls
ave
visited
te

1.8
1
12 m
2
53 m
3
1200 m
4

1
a

2
500
5.6

3
a
×
2
10
b
Module
140 000
seonds
Practice
eam
questions
9
3
4
1:
b
2.2
2
3
c
8
2
S
1:
oncalculator
1.9

1
a
5
c
8
or
7
b
9
d
9

1
17.5 m

2
8 m

3
54 m
2

1
a
3.999,
2
4.08,
4.19,
4.2
5
1
7
3
18
b
9
c
5,

2


3
12.2

4
=
14,

=
168
12
2.3
4,
2,
7,
8
2

1
rea
=
113.1 m
,
5

2
1,
3,
5,
7,
9
irumerene
12

3
a
4n
1
b
2n
+
5
c
3n
+
=
37.7 m
21

5
0.625

6
196

7
3

8

9

2
iameter
=
21.0 m,
radius
=
10.5 m,
2
area
=
346.6 m
all
to
1 d.p.
1.10
7

1

3
25.9 m
0
3
1
5

2
a

3
a
3
3
b
8,
3.687,
3.7,
3
4
2
2.4
5
3
5
√
3.4,
×
19
×
4
=
5
×
4
×
19
=
3,
8,
18,
38,
78
2
1
urae

2
e
surae

3
e
spere
380
area
=
52 m
5
10
b
27
×
10
=
4.7
×
10
2
270
11
a
1.11
a✪b✪c
=
12ab
=2a
×
3c
×
=
3b✪c
=
a✪b✪c
1
192

2
501

3
11

4
a
1000
b
21
=
2a
×
=
=
and
te
×
3c
36abc
=
=
area
o
144 π m
a✪6bc
a✪b✪c
a✪b
=
2a
×
3b
=
b✪a
=
2b
×
3a=
6ab
2.5

1
84 m

2
175 π

3
10
3
base
2
6ab
=
a✪b
≈
1
_
base
4
12
1
m
8
182
linder
2
surae
3
b
210 π m
36abc
a✪2b
18bc
=
6ab✪c
a

area
549.8 m
.
bot
ave
Answers
2.6

1
2.14
2
gallons
1.1 b
8 o
17
16
or
pints
18 o
breadruit,
o
ater,
salted
2 o

1
bee,
Module
all
or
mean
mode
or
median
ames
mean
arus
or
median
2
8100

3
a
median.
1
375 m

2
5 m

3
a

4
235.6 m

5
a

6
a

7
3

8
72.9

9
1,
seonds
2

2
1
17
made,
25
2
20 000 mm
c
32
square

2
6

3
e
made,
67.1 m
11
3308.1 m
b
1244.1 m
20 m
b
9 m
sold
data
son
b
interquartile
1
65 m

2
1
sold
3
as
is
more
spread
minute
24
te
larger
range
and
minutes

10
1
Maximum
b
11
45
minutes
minutes,
2,
54.4
minutes
3.
against
minutes
3 ms
ours
range.
ms
length
a
171 m–180 m
b
170.5 m,
umulatie
1
a
2
out,
2.16
3
b
ines
2.7

235.6 m
sold
3
b

eam
2

200 m
25
Practice
oo
2.15

2:
questions
cm
180.5 m
freuenc
3
11
1
c
9
ms
20
2
40
24
60
39
80
49
100
55
120
59
140
60
5
11
1
4
2.8

1
5880 g,

2
14.025 m
6120 g

3
4.57 m
to
2
3
2 d.p.
12
2.9

1
a
engt,
b
mass
avourite
9
14
a

3
12.5 m
upper
5 g
loer
boundar
boundar
=
=
10.5 g
2.10
1
b
31.4 g
25
60
50
40
evitalumuC

29 g–30 g
c
5.5 g
10
ycneuqerF
8
6
20
ycneuqerF
 idt
ycneuqer
2
ears
ruit
70

72°
13
15
10
5
30
0
27
20
29
31
33
Weight
35
37
(g)
10
4
d
3.5 g
0
2
15
0
20
40
60
80
100
120
140
a
160
1
2
3
4
5
6
0
Maximum
cricket
football
tennis
Favourite
2
length
(cm)
1
athletics
2
sport
oer
quartile
=
31,
pper
quartile
=
70
2
8
3
13
3
7
=
21.7
60
4
6
ycneuqerF
2.17
4
1
__
5
_
b

1
obert
iger

2
obert
smaller

3
ossibl
=
24
mean
6
4
1
__
standard
16
deviation
a
12
3
ara,
but
ou
annot
be
sure.
b
12
red,
32
blue,
4
green
2

1
a
0
t
10
20
30
40
50
60
bar
is
a
10 m
×
10 m
×
10 m
ube.
10
70

2
352

3
5
Module
Age

18
b
8
3
9 m
3
1
0

17
2.18
1
red,
3
blue,
6
bla,
2
3:
Summary
questions
ite
art
3.1
2.19

2.11

eri

1
6

2
t
rolls
a
die
and
¤ips
a
1
n
+
2
oin.
c
+
12
_______
1
does
sos

3
not
so
requenies.
nstead

2

3
it
2
proportions.
1
2
3
4
5
6
ead,
ead,
ead,
ead,
ead,
ead,
1
2
3
4
5
6
19
36
ead
3.2
2.12


ail

1
728 m

2
3,

3
e
6,

ail,
3
6
2
inreases
b
0.6,
no
is
unanged,
and
2

ail,
3

ail,
4

ail,
5

ail,
1
tere
ill
mode.
a
−1
b
−6
d
−18
e
−1
a
6
b
−12
c
−18
d
36
c
4
6
1

2
4
te
3
median

ail,
=
12
mean
1
0.05
2
be

3
n
is
never
negative
2.20
3.3
15

2.13
7
1
2
22
1
e
modal
lass
is

22
1

3
ot
letanded
.
o
eatl
e
estimate
o
te
mean
is
7
e
median
is
in
te
lass
a
11–15.
2ac
=
22
33
2d
2
19
1
=
+
________

13.5
one
3
−
bc
33
2
b
1
16–20
66
7
8b
_____

3
2
9a
4
c
183
Answers
3.4
1
2
3.13
2

a
5
♣
4
=
2
5
+
4
=

5
♥
4
=
5
4
=
√
=
6
9

12
8
24
3
10
1
1
3
y
=
2
a
♣

3
a
b
♥
=
b
2
a
♥
+
c
b
=
2
=
♥
=
b
♥
c
b
+
a
=
a
a
+
b
♥
♥
a
c
=
=
b
♣
a
b
p
a
+
1
b
c
=
a
b
c
3.20
2
30 m

3
s
=
8
c
c
3.5
2
1
6ax

2
3x
12x
2
72
3.14

8.94,
2
2
b

a
≈
1,
1
x
2
2

80
=
1
w
b
engt
midpoint
41

1
a
13
b

2
an–one.

3
ll

1
x
>

2
x
∈

3
3.5
R
1
⩽
x
<
7
13
21x
3
te
real
numbers
⩾
2
1
0
1
2
3
4
5
6
7
8
9
−3
5y
2

3
12a

4
a
bb
7a
b
y2x
y
∈

4,
3
12
3.15
+
5
3

1
y
=
x

2
y
=
x
is
a
one–one
3.21
untion.
3
3
c
9c4c
2x
is
a
man–one
untion,

1
y
1
so
its
inverse
tereore
ill
not
a
be
one–man,
8
and
untion.
7
3.6


1
a
b
b
x
+
a
3c
b
5c
8b
3

possible
anser
is
te
real
numbers
6
3
⩾
−6.
5
2

2
1x
1
1c
=
x
1
4
1
3.16
+
45c
4
3

1

2
0,
6
and

2,
0
2

3
x
+
2x
3x
2
=
+
3
2
y
2
x
+
2x
+
6x
3x
9
1
12
2
=
3x
+3x
=
3x
9
2
+
x
10
3
0
2
x
1
1
1
2
3.7
6
2S
+
3
1
_______

1
n
=
4
3
_____
2
r
5
p
_____

2
k
=
√
6
3
___
0
3
x
2
1
2
2

3
4 πr
=
6l
7
2
3l
___
2
,
so
r
=
√
2π
8
4
3.8

6
2
y

1
x
=
5

2
x
=
−3

3
x
=
−1

3
2,
1
6
3.17

1
5
a
3
4
Required
3.9
b
3
region

1
x
=
−5
or

2
x
=
−2
±

3
or
x
=
x2x
x
√
1.32
+
3=
=
3
11 ,
c
x
=
0.5
2
−5.32

2

3
2 d.p.
4000
y
=
x
+
2
x
=
y
+
2
y
=
2x
+
blue
y
green
=
x
2x
+
y
+
1
red
=
2
purple
4
2
0
2x
or
+
x
3x
=
4000
=
0
x
=
43.98
6
−45.48.
is
90.96 m
4
×
43.98 m
2 d.p.

1

2
y
=

3
y
=
3
b
+
x
1
3p
⩽
1
2
3
4
5
6
30
2
−2x
x
+
+
9
3.22
4
2
1
2
1
3.10

3
3.18

ield
5
a
=
7,
b
=
2x
1
f
+
1
_______
1

1
x
=
3

2
x

3

=
1.5,
am
17
y
=
−1
3.19

ears
old,
m
ater
is
39
ears
2
fgx
=
x
fx
and
gx
are
inverses
y
1
ea
old.
oter.
8

3
a
x
b
f
7
≠
0
1
x
=
fx
fx
is
selinverse.
3.11
6

1
x

2
e
=

3
1,
1,
y
=
4
or
x
=
2,
y
=
3
3.23
5
retangle
is
8 m
×
5 m
y
1
2
4
10
3
8
3.12
2
6

1
h
5
10
25
8
k
7
14
35
112
1
4
0
2
x
1

2
765 g

3
729
1
0
4
2
3
1
2
x
=
2,
y
=
5
4
184
x
o
Answers
2
y
=
3
0.75
2.8
<
20
x
<
a
7
c
fgx
b
7
1.8
4.6
x
2x
9
d
f
1
_____
1
=
x
=
2
3.24
21

1
0,

2
y
a

1


2
se
sould

3

be
angles
11.6 m,
o
45°
at

te
12.3 m
entre.
y
3
16
2
=
x
2
1
minimum
point
at
14
2,
1
12
2

3
x
4x
+
3
=
0
as
solutions
o
x
=
1
10
and
1,
x
=
0
3,
and
so
3,
te
interepts
are
0,
sould
be
8.7 m
3,
0
8
4.7
6
3.25
ABCD

1


2

3

o
te
is
a
parallelogram.
EF
is
parallel
to
AD
4
40 m
bus
8 m
against
1
AD
=
BC
AB
=
CD,
opposite
sides
6 m
o
parallelogram,
ongruent
10
0
)s/m(
3
2
AC
is
ommon.

x
1
1

2
FEC
=
DAC
alternate
angles,
EFC
=
ADC
alternate
angles,
FCE
=
DCA
ommon
2
8
deepS
6
b
e
eat
c
2
22
a
2
23
a
3.5 ms
24
a
36 g
b
1.5 m
4
value
is
5.25

b
3
c
b
112 m
3
7.5
m
1
2
2
4.8
0
0
5
10
T ime
15
(seconds)
25
e
runs
Module
115 m
3:
3,
1
and

1,
1

2

3
10 m
√
72
=
8.5 m
3
to
1 d.p.
2
altogeter.
Practice

27.7 m
to
1 d.p.
eam
Module
4:
Summary
questions
questions
4.9

1
e¤etion

2
90°

3
e¤etion
in
y
=
3
4.1

1
4n
+
6

2
4

7x
+
1
a
z
b
y
c
loise
rotation
about
1,
3
x
3
in
y
=
4
x
_______

3

2
a

3

132°
b
48°
c
297°
6

4
a
9
b
line
ontinues
is
not
innit
in
bot
5
4.10
diretions.
c
to

ra
starts
rom
a
ed
ommutative.
point
and
ontinues
to
innit
in
1
riangle

2
riangle

3
nlargement.
one
2

5
2x
6xy
diretion.

6
2x
+
5x
2

7
s
=

8
x
=
4.5
10
x
=
2
−1.16
2

4.2
2a
x
=
11
a
=
12
12 m,
ale
ator
2,
entre
5,
3
2
u
v
_______

√
±
4,
b
10
x
to
=
=
9
x
5.16
=
1
or
x
or
=
2
y

1


2


3
a
6
5
132°
b
104°
c
124°
2 d.p.
B
−1
4.3
C
8 m
13
x
=
43.75

1
55°
and

2
a
150°
b
t
55°
or
70°
and
A
2
40°
2
14
y
=
x
y
=
3x
2
+
an–one
1
ne–one
_____
y
=
√
x
3
ne–man

_____
15
a
y
=
16
b
t
is
a
b
√
a
x
+
3
n
is
a
1
ite
isoseles
0
trapeium
3
2
x
1
1
2
3
4
5
1
7
one–man
relation.
y
4.4

1

2
2
114°
10
360
90
4.11
_________
=
135°.
8
2
6
360

1
10

2
es
aes,

3
3
10
24
+
edges
16
=
and
24
+
16
verties
2
__________

3
=
10
sides.
4
180
144
2
4.12
4.5
0
x
1
2

1
onstrut

2
iset


=
60°,
son
in
so

=
120°.
x
17
y
=
18
a
19
=
1.5,
−2x
y
=
2.5
5
10
b
1,
1
28.3 m

2
11.4 m

3
63.6°
4.13
C
c

red.
3

1
148.2 m
to
1 d.p.

2
2.49 m
to
3 s..

3
a
e

bearing
=
50
+
o
180

rom
=
230°
y
B


3
onstrut
an
angle
o
90°.
daent

−
=
bearing
bearing
o
o


rom
rom

8
to
it
onstrut
an
angle
o
60°.
iset
=
230
−
140
=
90°
6
te
rigt
angle,
so
tat
an
angle
o
45°
b

is
12.1 m
rom

on
a
bearing
o
4
and
0
60°
togeter
mae
105°.
115.6°
x
1
2
185
Answers
1
4.14
Module
4:
Practice
b
eam

1
1
A
=
−
1
2
1
1
)
(
3
2

1
35.2 m

2
15.2 m

3
27.3°
questions
1
×

1
a
−
2
4.15
b
76°
c
29°
1

1
54.7°

2
60.3°

3
9.6 m
=

2
12

3
38°

4
onstrution
1
4.16

1
8.2 m


3


=
55.8°,
2
=
51.4°,
and
104°
=

=
72.9°
onstrution
sould
o
a
inlude
blue,
rigt
olloed
b
)
+
0
1
4
1
+
0
1
2
)
1
5
1
1
)
te
angle
son
1
=
in
2
(
6
103.8°
1
0
1
(
6
1
(
65°
bisetion
o
A
rigt
4.17
angle

1
80°

2
100°

3
red
45°
urter
eam
ractice
1
4.18


1
13 m

2
64°

3
1
a
26°
16
14
4.19
1
2
)
(
(
4
3
√
12
7
ycneuqerF
4
)
3
68
=
8.25
to

5
18.7
eet
to

6
a
b
c
e¤etion
1 d.p.
2 d.p.
4.20
ee
diagram.
in
y
=
3
10
8
6
x
4

1
a
a
b
2a
c
a
y
b
2
6
2b
0
2b
5
Cheese
Ham
Pineapple
Mushroom
2

2
a
and
b
___
___
›
Pizza
___
›
3

=
types
›
2

tomato
4
3

+

=
b
+
2
a
b
=
3
3
a
b
3
9
A
B
c
100°
a
i
5
ii
8.5
4.21

1

1
a
3
2
3
0
8
2
2
)
(
C
2
x
1
iii8
1
1
8
c
(
i9.25
)
4
f
2
2
9
1
10
9
4

)
(

7
a
13
b
b
d
and
1

2
e
3
3
1
2
annot
be
3
es,
te
edges,
13
3
bot
equal
10
a
i
2x
ii
7a

8
77.2°

9
a
to
78.6°
to
to
)
4
6
1 d.p.
11.1 m
b
10
3
4
a
240 m
b
248 m
c
n
1 d.p.
2
1 d.p.
atri
multipliation
matri
addition.
is
distributive
c
over
tree
lengts
tat
multipl
2
5
59.8 m
to
1 d.p.
to

3b
6
b
(
17
50
verties.

2

24
omputed.
)
(
9
aes,
b
10
7.1°
11
123.7°
to
12
a
75°
alternate
b
65°
angle
240,
or
eample
1 d.p.
to
1 m
×
1 m
×
240 m,
5 m
×
6 m
×
8 m
or
1 d.p.
segment
teorem
5
a
9
4.22
at
entre
=
2
×
angle
at
8

1
and
2
on
diagram
irumerene
7

3
0
c
)
(
0
,
an
enlargement,
sale
ator

=

90°
angle
beteen
2,
2
tangent

=
ycneuqerF
2
entre
0,
and
radius
0
o
y
opposite
so

___
a
li
___
___
›
6
is
angles
up
to
180°,
quadrilateral.
5
4
3
___
›
›
add
6
›
2
13

=

+

+

=
a
=
b
+
b
2a
1
5
___
C
___
›
a
___
›
›
0
4

=

+

3
=
b
+
a
+
b
0
2
4
Waiting
a
6
time
8
10
(minutes)
›
›

A
−2a
___
___
2
=
=
,
so

and

are
equal
b
and
2
to
4
minutes
7
parallel.
c
1
12
B
0
d
)
(
i
8
3
x
1
5
5
14
1
ii
1
15
a
i
1
5
1
1
)
(
2
1
ii
6
1
1
0
2
(
4.23
9
a
x
)
2
−3
−2
−1
9
4
1
−6
−4
−2
3
0
0
1
2
3
0
1
4
9
0
2
4
6
0
3
8
15
2

1
a
=
2,

2
x
=
0.5,
b
=
x
−1
1
iii
y
=
1
2
1
1
)
(
1.5
3
+

3
1
2
0
2
)
(
1
i
5
1
1
)
(
6
186
1
2x
2
y
=
x
+
2x
−1
Answers
2
y
b,d

4
a,c
17
3
a
2x
b
(2x
2
14
8
x
12
2
3)
=4x
12x
+9
+3
_____
c
7
2
10
4
6
thgieH
6
)m(
8
5
Further
exam
practice
3
4
5

1
5×10

2
a
3
2
i
3x(x
ii
(x
x
4
3
1
2
3
7)
+4)(x
4)
2
4
b
1
4x
4x
3
2

0
3
a
16
000
b
17
000
2,0)n(1.5,7)
4
0
c
i
e
x
1
=
ii
−1.7,y
=
x
=
−0.5orx
7
a
y
=6.5
y
=
x
3
−1
4
5
T ime
6
7
8
9
(seconds)

4
(

5
20.25

6
trong,ositiecorretion
d
5.9secons
a
133.7
cm
6

b
2
=1.7,
b

1
5
√

√
3
4.5
5


4

Renmer
✓
✓
✓
✓
✓
nteger
✓
✗
✗
✓
✓
trnmer
✓
✗
✗
✓
✗
rimenmer
✓
✗
✗
✓
✗
Rtionnmer
✓
✓
✗
✓
✓
3
=3
2
b
c
x

8
a
318
g
=

9
a
7
cm
1147.9
cm
12
b

6

7

8

9
49.82
497.5
g
5
2
12
b,c
y
B
a
787.40
b
12.5
a
Male
Female
Youngest
20
18
oweruartile
24
23
Median
27
25
A
7
a
42
b
4.8oss
c
55
x
C
eruartile
33
34
ldest
56
51
nteruartilerange

9

8
2.5<

9
a
11
x
i
7
ii
5
⩽4
iii13
ange
36
33
i19
d
Reectionin y
=
−x
b
3
10
a
b
2×2×2×7or2
i
14
ii
280.

i
re
ii
se
4
×7
b
x
a
i
1
iiise
5
10
)
(
iocnnotte.
0
180
____
11
10
a
a
=
b
a
=20
a
x
=17,y
b
m
a
11.6
cm
=
−3
2
5
b
2
=
a
ii
+3
)
(
3
11
12
c
b
a
56°
14
=2
b
34.2°
c
15.1
cm
iii
)
(
7
2
b
112°
c
28°
d
14
5.2
cm
b
5c
b=
4
)
(
=3.5
x
13
(
)
(
7
12
=3.5a
2
=3
2
62.6
cm
Further

1
a
8
b
63
(to3s.f.)
exam
practice
2
14
a
6
14
1
4
11
a
x
b
(3,
c
x
=3±
x
=
4.41(to3s.f..)
ycneuqerf
d
=3
35
)
i
1,3,4,5,7,9
ii
3,5,7
iii4,6,8,10
12
b
A
⋂(B
⋃
6

a
81
km

3
b
1325
=1,3,5,7,9


(A
⋂
B)⋃(A
⋂
C)=1,9⋃
3,5,7=1,3,5,7,9
15
b
=88°,=52°n =40°.
16
a
i
2b
ii
3a
iii
b
evitalumuC
2
2
orx
=1.59or
y
a
1,2,3,4,5,7,9
3

√
C)=1,3,5,7,9 ⋂
2
c
2)
B
A
30
25
20
15
10
5
i2a
___
0
›
b
x

 =2a
___
›

=
___
›
0
___
10
20
30
40
50
60
___
›
›

+

=
b
+
a
Height
b=a
(cm)
___
›
b
i
26
cm
ii
34

 =2

20=14
cm
187
Answers
x
13
a
+2
_____
12.1
km
b
ominmigteR x
⩾0.
12
2
b
coominmigteR y
⩾
−2
12
13

4
√
a
√
a
40
 ≈6.3
cm
89
 ≈9.4nits
)mk(
2
b
10
b
(4.5,
19.1
cm
(to1
..)
1)
14
ecnatsiD
8

5
2iseennrimensote

6
a
b
37.8

7
a
2736.95krone
b
40.19

8
a
(a♣b)♣c
y
intersectionisnotemt.
6
6
30–40
4
4
2
0
2
0
10
20
30
40
50
T ime
60
70
80
90
=2ab♣c
(min)
=2×2abc
14
a
x
0
2
4
=4abc
b
3
2
a♣(b♣c)
=
c
y
=2x
d
y
=
=2×2abc
1
−
x
4
2
2
15
a♣2bc
2
=4abc
a,b
b
a♥b
=2a
b
b♥a
=2b
a,soitisnot
6
y
6
commttie.
c
a♣(b♥c)
=
a♣(2b
c)
15
23mintes
16
a
i
24
ii
44
4
=2a(2b
=4ab
c)
iii80
2ac
2
2
b
(a♣b)♥(a♣c)
=2ab♥2ac
(a
+1)
=
a
2
(a
1)
2
=2×2ab
x
0
4
2ac
=4ab
2
2ac
2
101
o♣isistritieoer ♥

9
a
+
c
a
+
d
=180
(oositengesofccic
17
=
180
(cointeriorngeson
6

c
0
1
)
(
Further

1

2
a
i
64°
ii
64°
b
12
cm
a
(
reines)
18
0

od
=
c
=180

imir, a

otetreimisisoscees.
=
b
=
a
180
c.
b
exam
=114°,b
practice
=43°,
c
4
19
=55°
a
a
+1)
1
1
4
3
=4×100=400
)
2
4
6
4
0
2
)
(
i
72°
ii
54°
b
cisosceestringecnesit


crigtngetringesse


oecrigtngetringesn
intotorigtngetringes.
b
d
2a
2
99
a
)
4
+1–(a
=4a
C
2
1
2
+2a
4
cmneigtof4tn54°.
c
1
reof

×4×4tn54°=8tn
2
10
223(se6)
54°
2

3
a
oreereof x,y
=
x
4
11
a
x
+2y
b
a
+

rocesstoneeof y.(tis

erere10sctringes(toin
12b
ecisosceestringe),sototre
5
c
mn–oneming.)
12a
=10×8tn54° =80tn54°
ty
=
√
x
2
4sesof xfor
2b
2
____
d
icyisnene(e.g. x
=
=
−2),
2
b
2
20
a
14
a
2
3a
3
b
36
c
24
nissoone–mnming
(e.g.x
=9giesy
=
soisnotfnction.
188
−1or
7),n
Index
distributive
A
addition
168,
6,
8,
20,
76–7,
82,
84,
172
algebra
80–1,
85,
law
21,
87
8–9,
20,
82,
division
7,
domain
106
matrix
84
algebra
176–7
transformations
mean
60,
63,
176
64
measurement
91
S
174–5,
sample
scalars
38–9,
48–9,
space
170,
diagrams
74
172
scale
64
scale
drawing
scale
factors
E
ambiguous
case
52–3,
142
enlargements
angles
132–5,
138,
measures
94–101,
central
112–15,
theorems
sine
rule
rule
arcs
88–9
median
metric
25
40–1,
48–9,
42–3,
44–5,
158
averages
2,
formula,
law
50,
(axis)
factors
106
21,
60,
of
86
61,
88,
90,
91,
4–5,
88,
150
changing
the
subject
money
10–11,
18,
85,
42–3
tables
61,
62–3,
self-inverse
65
26,
semicircles
49
sets
62
12–13,
2,
84,
28–9
18–19
combinations
of
complements
32
8–9,
20,
76,
set
172–3
notation
unions
Venn
68
sets
32–3
30
intersections
7,
174
30–1
elements
4–5
170,
reections
164
sequences
116–17
multiplication
82,
frequency
sectors
148
60,
multiples
8–9,
62,
55,
line
mode
95
126–7
60–1
66–7
system
mirror
96
92–3
fractions
64–5
60,
midpoint
F
diagrams
associative
axes
76–7
factorising
38,
arrow
72,
expanding
163
42
area
tendency
dispersion
161
appreciation
38–9
150
117
164–5
events
cosine
26–7
106,
159
circle
64
174
140–1,
equations
156,
150,
32
30,
119
32
diagrams
30,
34–5
N
functions
108–9,
shapes
110–11,
nets
B
122–3,
bar
charts
SI
124–5
numbers
56
41,
2–3,
16,
42,
82–3,
22–3
number
G
line
units
48
gures
156–7
gradient
111,
114,
115,
number
v126,
systems
20
128,
real
129
numbers
2,
6–7,
operations
86–7
graphs
50–1,
57,
68–9,
154,
20,
90,
85,
88,
94
107,
110–13,
101,
symbols
116–17,
for
numbers
152–3
80–1
speed
124–9,
grouped
chords
circles
42,
circle
frequency
tables
objects
166
theorems
segments
42,
circumferences
164–7
164,
42,
(highest
common
factor)
histograms
law
21,
20,
parallel
87
lines
matrix
134–5,
112–15,
133
34
83,
111,
115,
6,
100
8,
20,
82,
84,
132,
173
141
summary
86
square
parallelograms
106
40,
surface
(reections)
patterns
148
area
41,
43,
26,
percentages
49
10–11,
12,
80–1
13
symmetry
47
indices
(index)
16,
perimeter
84–5
70–1
44–5
19
symbols
shapes
system
statistics
169
89,
imperial
computations
30,
70–1
16–17
172
images
compound
lines
subsets
74
126–7
148–9,
153
40
6–7
inequalities
118–19,
120–1,
perpendicular
lines
115,
132,
T
46
tables
between
2,
interest
planes
126–7
points
24
62–3,
126,
68,
154,
77,
106
166
153,
114,
three-dimensional
159
126,
132,
133,
shapes
152–3
141
lines
polygons
132
56,
138–9,
time
143
27,
48,
50–1,
128–9
168
inverses
prisms
20
44–5,
46,
transformations
152
148,
150–1,
162–3
cross-sections
cumulative
tangents
58–9
153
intersecting
114,
154,
charts
48
polyhedrons
coordinates
pie
18
units
intercepts
26,
61,
77
integers
conversion
tables
140–1
125
contingency
14–15,
form
substitution
image
45,
deviation
standard
subtraction
the
128–9
46
standard
straight
150
72,
45,
P
identity
completing
cosines
86–7
170
commutative
convex
20,
164
identities
cones
8–9,
106
collinearity
96–7,
6–7,
18–19
outcomes
58
I
codomain
ordering
orientation
4–5
166
spheres
148
operations
H
HCF
graphs
62–3
49
42–3
128
speed–time
O
26,
50,
163
C
capacity
176
160–1
10–11
solids
brackets
117,
8–9,
sines
binary
6
equations
22
98–101,
BIDMAS
152–3
82
simultaneous
bearings
47,
91
signicant
bases
43,
44
44,
inverse
functions
109,
inverse
matrices
inverse
operations
inverse
variation
122–3
probability
174–5,
72–7
176
152
frequency
173,
174
pyramids
45,
46,
translations
152
150
graphs
Pythagoras’
20
theorem
146–7
transversal
lines
134
68–9
curves
126–7,
trapeziums
104–5
132
Q
triangles
cyclic
41
quadrilaterals
165
quadratic
L
equations
136,
144–5,
146–7,
96–7
154
laws
of
indices
16,
84–5
quadratic
functions
quadratic
graphs
124–5
area
D
LCM
data
(lowest
common
multiple)
124–5,
40,
158
126
constructing
54–5
quadrilaterals
4–5
class
intervals
class
limits
40,
136–7,
cosine
length
and
26,
quartiles
49
sine
terms
line
graphs
information
160
law
169
57
68–9
radii
line
displaying
rule
triangle
R
frequency
162
84
54–5
cumulative
rule
67
boundaries
like
142–3
165
55
segments
116–17,
(radius)
42,
trigonometry
166
154–5,
158–9
132,
56–9
range
66–7,
turning
106
points
126
140
grouped
data
54,
62–3
ratios
linear
measures
of
central
equations
functions
linear
graphs
132
unknowns
110–11
60–1
reciprocals
measures
of
dispersion
64
U
rays
linear
14–15,
94–5
tendency
110–11,
80,
94,
98–9,
120–1
20
112–13,
66–7
rectangles
V
40
116–17
summary
statistics
70–1
reection
linear
decimals
6,
10–11,
inequalities
reection
120–1,
depreciation
relations
lines
111,
direction
134–5,
140–1,
magnitude
50–1,
mass
26,
matrices
80,
variation
102–5
Venn
40
120
150,
168–71
diagrams
vertical
149,
rotation
169
rounding
49
(matrix)
vectors
106–7
16
rotation
M
graphs
variables
132,
roots
66
148
2,
30,
159
42
distance–time
128
116,
rhombuses
169
dispersion
112–15,
173
133,
diameters
174
symmetry
125
25
determinants
148–9,
118–19,
18
172–3
6
volume
174
symmetry
148
line
test
46–7,
108
48–9
34–5
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