0.5
F
answer simple
yes/no questions
about given
categorical data
that are sorted
sort familiar
categorical data
into sets and use
these to answer
yes/no questions
and make simple
true/false
statements about
the data
F.5
sort objects into
designated
categories on
diagrams and
create their own
visual records by
sorting objects or
their images
describe
outcomes of
simple familiar
events using 'will
happen', 'won't
happen' or 'might
happen'
Statistics and Probability
1
1.5
2
2.5
3
describe data
displays
use tallies and
tables to record
answers to
questions and
summarise the
answers by
counting
collect data from
relevant
questions to
create lists, tables
and picture
graphs with and
without the use of
digital technology
make tallies and
convert them into
one-to-one
picture graphs
(pictographs) and
bar chart
carry out simple
data
investigations for
categorical
variables.
ask questions to
collect and draw
simple data
displays
explain why they
think an event is
'certain' or
'impossible'
interpret data in
context.
recognise
variation in
measurements
and other data.
interpret and
compare data
displays.
describe
outcomes of
familiar events
using everyday
language
place events from
familiar contexts
in order of how
likely they are to
happen.
conduct chance
experiments, list
possible outcomes
and recognise
variations in
results.
classify outcomes
of simple familiar
events
F.5
1
1.5
sort objects into
designated
categories on
diagrams and
create their own
visual records by
sorting objects or
their images
describe data
displays
use tallies and
tables to record
answers to
questions and
summarise the
answers by
counting
describe
outcomes of
simple familiar
events using 'will
happen', 'won't
happen' or 'might
happen'
ask questions to
collect and draw
simple data
displays
explain why they
think an event is
'certain' or
'impossible'
classify outcomes
of simple familiar
events
Statistics and Probability
2
2.5
3
3.5
4
make tallies and
convert them into
one-to-one
picture graphs
(pictographs) and
bar chart
carry out simple
data
investigations for
categorical
variables
describe different
methods for data
collection and
representation,
and evaluate their
effectiveness
interpret data in
context
recognise
variation in
measurements
and other data
interpret and
compare data
displays
identify questions
or issues involving
categorical
variables, define
data sources, and
plan and trial
methods of data
collection and
recording
use a variety of
methods of data
presentation
describe
outcomes of
familiar events
using everyday
language
place events from
familiar contexts
in order of how
likely they are to
happen
conduct chance
experiments, list
possible outcomes
and recognise
variations in
results
compare one
event to the other
as being less,
equally or more
likely to happen,
and justify their
reasoning
identify everyday
events where if
one event occurs,
the other event
cannot occur
list the
probabilities of
everyday events
collect data from
relevant
questions to
create lists, tables
and picture
graphs with and
without the use of
digital technology
construct data
displays from
given or collected
data, with and
without the use of
digital technology
identify
dependent and
independent
events
1.5
Statistics and Probability
3
3.5
2
2.5
use tallies and
tables to record
answers to
questions and
summarise the
answers by
counting
collect data from
relevant
questions to
create lists, tables
and picture
graphs with and
without the use of
digital technology
make tallies and
convert them into
one-to-one
picture graphs
(pictographs) and
bar chart
carry out simple
data
investigations for
categorical
variables
explain why they
think an event is
'certain' or
'impossible'
interpret data in
context
recognise
variation in
measurements
and other data
interpret and
compare data
displays
describe
outcomes of
familiar events
using everyday
language
place events from
familiar contexts
in order of how
likely they are to
happen
conduct chance
experiments, list
possible outcomes
and recognise
variations in
results
identify questions
or issues involving
categorical
variables, define
data sources, and
plan and trial
methods of data
collection and
recording
4
construct column
graphs and
picture graphs
where one picture
can represent
many data values
from given or
collected data,
with and without
the use of digital
technology
use a variety of
construct data
recognise that
methods of data
displays from
probabilities
presentation
given or collected range from 0 to 1
data, with and
and place events
without the use of in order on a
digital technology number line from
0 to 1 based on
their probability
list
the
compare one
event to the other probabilities of
everyday events
as being less,
equally or more
likely to happen,
and justify their
reasoning
identify everyday
events where if
one event occurs,
the other event
cannot occur
describe different
methods for data
collection and
representation,
and evaluate their
effectiveness
4.5
identify
dependent and
independent
events
5
pose questions to
gather data and
construct various
displays
appropriate for
the data, with and
without the use of
digital technology
compare and
interpret different
data sets
list outcomes of
chance
experiments with
equally likely
outcomes and
assign
probabilities as a
number from 0 to
1
Statistics and Probability
4.5
2.5
3
3.5
4
make tallies and
convert them into
one-to-one
picture graphs
(pictographs) &
bar chart
carry out
simple data
investigations
for categorical
variables
describe
different
methods for data
collection and
representation,
and evaluate
their
effectiveness
recognise
variation in
measurements
and other data
interpret and
compare data
displays
identify questions
or issues involving
categorical
variables, define
data sources, and
plan and trial
methods of data
collection and
recording
use a variety of
methods of data
presentation
place events from
familiar contexts
in order of how
likely they are to
happen
conduct
chance
experiments,
list possible
outcomes and
recognise
variations in
results
construct column
graphs & picture
graphs where one
picture can represent
many data values
from given or
collected data, with
& without the use of
digital technology
construct data
recognise that
displays from
probabilities range
given or
from 0 to 1 & place
collected data,
events in order on a
with and without number line from 0
the use of digital to 1 based on their
technology
probability
list
the
compare one
event to the other probabilities of
everyday events
as being less,
equally or more
likely to happen,
and justify their
reasoning
identify everyday identify
dependent and
events where if
one event occurs, independent
events
the other event
cannot occur
5
5.5
6
pose questions to
gather data and
construct various
displays
appropriate for
the data, with and
without the use of
digital technology
evaluate the
effectiveness of
different displays in
illustrating data
features, including
variability
interpret and
compare a variety of
data displays,
including displays for
two categorical
variables
compare and
pose questions &
interpret different collect categorical or
data sets
numerical data by
observation or
survey, & distinguish
between a sample &
a population
list outcomes of
recognise that
chance
probability can be
experiments with interpreted as an
equally likely
expected frequency
outcomes & assign
probabilities as a
number from 0 to
1
represent
probabilities as
simple ratios and
fractions
analyse and evaluate
data from secondary
sources
conduct chance
experiments with
both small & large
numbers of trials,
using digital
technology
compare observed &
expected frequencies
of events, including
those where
outcomes of trials
are generated with
the use of digital
technology
specify, list &
communicate
probabilities of
events using simple
ratios, fractions,
decimals &
percentages
3.5
4
identify questions
or issues involving
categorical
variables, define
data sources, &
plan and trial
methods of data
collection &
recording
use a variety of
methods of data
presentation
describe different
methods for data
collection &
representation, &
evaluate their
effectiveness
4.5
5
Statistics and Probability
5.5
construct column
pose questions to evaluate the
graphs & picture
gather data and
effectiveness of
graphs where one
construct various different displays in
picture can represent displays appropriate illustrating data
many data values
for the data, with features, including
from given or
and without the use variability
collected data, with & of digital technology
without the use of
digital technology
construct data
recognise that
compare and
pose questions &
displays from
probabilities range interpret different collect categorical or
given or collected from 0 to 1 & place data sets
numerical data by
data, with &
events in order on a
observation or survey,
without the use of number line from 0 to
& distinguish between
digital technology 1 based on their
a sample & a
probability
population
list the
list outcomes of
compare one
recognise that
probabilities
of
chance
experiments
event to the other
probability can be
everyday events
with equally likely interpreted as an
as being less,
outcomes & assign expected frequency
equally or more
probabilities as a
likely to happen,
number from 0 to 1
and justify their
reasoning
identify everyday identify
represent probabilities
events where if dependent and
as simple ratios and
independent
one event occurs,
fractions
the other event events
cannot occur
6
6.5
7
interpret and compare a create side-by-side column
variety of data displays, graphs
including displays for
two categorical
variables
identify issues
involving the
collection of discrete
and continuous data
from primary and
secondary sources
analyse and evaluate
data from secondary
sources
construct stem-andleaf plots and dotplots
interpret secondary data
presented in digital media
and elsewhere, including
consideration of sampling,
misleading displays, bias
and purpose
compare observed & recognise that summarising
expected frequencies of data by calculating
events, including those measures of centre and
where outcomes of
spread can help make sense
trials are generated
of the data
with the use of digital
technology
specify, list &
determine the median for
communicate
different data sets
probabilities of events
using simple ratios,
fractions, decimals &
percentages
conduct chance
determine probabilities
experiments with both
by symmetry and
small & large numbers
counting
of trials, using digital
technology
identify or calculate
mean, mode, median
and range for data
sets, using digital
technology for larger
data sets
describe the
relationship between
the median and mean
in data displays
determine the
sample space for
simple experiments
with equally likely
outcomes, & assign
probabilities
outcomes