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Chapter 1
What is Science?
Grade 7
Which of the following is a valid
reason why a scientist might reject a
scientific theory?
95%
5%
ev
id
It
i
st
oo
ol
...
d.
0%
di
ct
en
ce
br
oa
Ne
w
to
o
rs
ov
e
It
c
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pe
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di
sa
d
a
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e
e
w
i..
to
pi
c.
0%
co
nt
ra
1. Some people disagree
with it.
2. It covers too broad a
topic.
3. New evidence
contradicts it.
4. It is too old.
In a scientific experiment, facts, figures
and other evidence gathered through
observations are called
91%
5%
0%
es
.
bl
es
.
s.
pe
nd
in
de
nd
e
nt
en
tv
va
r
ar
ia
ia
law
de
pe
a.
5%
bl
data.
laws.
dependent variables.
independent variables.
da
t
1.
2.
3.
4.
Explaining or interpreting the things
you observe based on reasoning from
what you already know is called
observing.
inferring.
predicting.
classifying.
76%
14%
g.
ss
ify
in
cla
in
g.
pr
ed
ict
r in
g.
5%
in
fe
r
vin
g.
5%
ob
se
r
1.
2.
3.
4.
A statement that describes what
scientists expect to happen every time
under a particular set of conditions is a
61%
scientific inquiry.
scientific hypothesis.
scientific theory.
scientific law.
22%
17%
.
sc
ie
nt
ifi
c
la
w
ry
.
sc
ie
nt
ifi
c
th
eo
es
is.
hy
po
th
nt
ifi
c
sc
ie
nt
ifi
c
in
qu
i
ry
.
0%
sc
ie
1.
2.
3.
4.
A possible explanation for a set of
observations or answer to a scientific
question is called a(n)
68%
prediction.
hypothesis.
theory.
law.
23%
.
law
.
or
y
th
e
he
s
is.
5%
hy
po
t
di
ct
io
n.
5%
pr
e
1.
2.
3.
4.
A well tested explanation for a wide
range of observation or experimental
results is called a scientific45%
25%
20%
.
law
.
or
y
th
e
he
s
is.
10%
hy
po
t
inquiry.
hypothesis.
theory.
law.
in
qu
ir y
.
1.
2.
3.
4.
Observations that deal with
descriptions that cannot be expressed
in numbers are called
80%
manipulated observations.
quantitative observations.
qualitative observations.
operational observations.
15%
5%
ra
t io
op
e
qu
a
lit
at
ive
io
ns
.
va
t
ob
se
r
na
l
ob
se
r
va
t io
ns
.
tio
ob
se
rv
a
ive
nt
ita
t
qu
a
ns
.
0%
ns
.
tio
va
ob
se
r
d
te
ul
a
an
ip
m
1.
2.
3.
4.
Asking which brand of superball will
bounce better and designing an
experiment to test it 25%
is an25%
example
of
25%
25%
1.
2.
3.
4.
a prediction.
objective reasoning.
scientific inquiry.
classification.
1
2
3
4
One useful tool that may help a
scientist interpret data by revealing
unexpected patterns is a
82%
variable.
graph.
theory.
law.
14%
.
0%
law
.
or
y
th
e
ph
.
gr
a
ia
bl
e.
5%
va
r
1.
2.
3.
4.
Chris doesn’t think chipmunks are very
smart, so her hypothesis is that they
won’t be able to find the nuts she has
hidden in the garden. This is an
example of _____
74%
objective reasoning
cultural bias
subjective reasoning
experimental bias
16%
ias
ta
lb
ng
en
rim
ex
pe
re
a
e
tiv
su
bj
ec
cu
l
tu
r
al
so
ni
bi
in
g
so
n
ea
er
tiv
5%
as
5%
ob
je
c
1.
2.
3.
4.
Making a statement or claim about what
will happen in the future based on past
experiences or evidence is called
76%
g.
ss
ify
in
cla
in
g.
5%
di
ct
r in
g.
10%
in
fe
r
vin
g.
10%
pr
e
observing.
inferring.
predicting.
classifying.
ob
se
r
1.
2.
3.
4.
During an experiment, if you purposely
change the temperature to test a
hypothesis, the temperature is called the
52%
independent variable.
experimental variable.
hypothetical variable.
dependent variable.
33%
va
r
ia
ia
bl
e.
bl
e.
5%
de
pe
nd
e
nt
lv
ar
ica
he
t
hy
po
t
en
ex
pe
rim
pe
n
de
nt
v
ta
lv
ar
ia
ar
ia
bl
e.
bl
e.
10%
in
de
1.
2.
3.
4.
When scientists put things into
categories or group together items
that are alike in some way, they are
95%
5%
g.
ss
ify
in
in
g.
r in
g.
in
fe
r
0%
cla
ak
in
gm
od
el
s.
0%
pr
ed
ict
making models.
inferring.
predicting.
classifying.
m
1.
2.
3.
4.
Using one or more of your senses to
gather information is called
85%
observing.
inferring.
predicting.
classifying.
10%
g.
ss
ify
in
cla
di
ct
in
g.
0%
pr
e
r in
g.
in
fe
r
vin
g.
5%
ob
se
r
1.
2.
3.
4.
When scientists create a
representation of a
complex process, they
are
86%
making models.
inferring.
predicting
classifying.
10%
5%
g.
ss
ify
in
cla
in
g
di
ct
r in
g.
in
fe
r
pr
e
ak
in
gm
od
el
s.
0%
m
1.
2.
3.
4.
In science, a hypothesis must be
68%
correct.
manipulated.
controlled.
testable.
27%
le
ta
b
te
s
tro
lle
co
n
te
ul
a
an
ip
m
d.
d.
t.
re
c
.
5%
0%
co
r
1.
2.
3.
4.
Every human being has rights. Mark is a
human being, therefore, Mark has rights.
This is an example of ______.
64%
deductive reasoning
inductive reasoning
subjective reasoning
personal bias
18%
ias
9%
so
n
pe
r
e
tiv
al
b
ng
re
a
so
ni
su
bj
ec
in
du
ct
ive
re
a
re
as
on
i
ive
uc
t
so
ni
ng
ng
9%
de
d
1.
2.
3.
4.
A summary of what you learned from
a scientific experiment is called a(n)
89%
hypothesis.
inquiry.
conclusion.
law.
5%
clu
.
law
sio
n.
0%
co
n
in
qu
ir y
.
he
s
is.
5%
hy
po
t
1.
2.
3.
4.
A scientist’s open-mindedness should
always be balanced by ____, which is
having an attitude of doubt.
76%
bi
a
at
cr
e
s
10%
ivi
y
io
sit
cu
r
pt
ic
ism
5%
10%
ty
skepticism
curiosity
creativity
bias
sk
e
1.
2.
3.
4.
When scientific investigations produce
data that show new patterns that
contradict existing conclusions,
90%
scientists should
10%
0%
ch
a
da
t
w
ng
e
th
e
ne
th
e
ou
t
th
ro
w
...
as
o
aa
da
t
ol
d
af
or
da
t
th
e
ch
ec
k
..
or
..
er
r
ad
ic t
or
y..
.
.
0%
co
nt
r
4.
th
e
3.
or
e
2.
ignore the contradictory data and keep the
old conclusions.
check the data for errors and revise or
replace the old conclusions if needed.
throw out the old data and use the new
data only to reach new conclusions.
change the new data so that it fits the old
conclusions.
ign
1.
Scientific knowledge changes with
84%
new magazine articles.
careful reading of facts.
repeated experiments.
new evidence and new
interpretations.
16%
ne
w
ev
id
en
ne
w
ce
an
d
ex
pe
te
d
ea
i..
.
ts
.
rim
en
ts
.
ff
ac
go
re
p
ca
r
ef
ul
re
ag
az
m
0%
ad
in
in
e
ar
t ic
le
s.
0%
ne
w
1.
2.
3.
4.
Which is an example of
using ethics in experiments?
58%
21%
o
M
gs
am
pl
tn
St
or
in
th
a
ca
re
ng
Ta
ki
es
un
ak
de
in
rc
gs
. ..
ur
et
ha
to
nl
yu
. ..
an
im
a.
.
...
cie
nt
eo
gs
ur
ak
in
M
16%
5%
th
er
s
1. Making sure other scientists
can repeat the experiment
2. Taking care that no animals
are harmed
3. Storing samples under
controlled conditions.
4. Making sure that only useful
data is collected.
If you conduct an experiment and
draw conclusions that are based on
your beliefs rather than the facts, you
38%
are using
29%
subjective reasoning.
objective reasoning.
faulty reasoning.
experimental reasoning.
24%
g.
so
ni
n
ng
.
ea
as
on
i
en
ta
lr
re
ex
pe
rim
fa
ul
ty
er
tiv
ob
je
c
tiv
e
re
a
ea
so
n
so
ni
ng
.
in
g.
10%
su
bj
ec
1.
2.
3.
4.
Kim notices that every time she uses a certain
bird food in her feeder, cardinals land on the
feeder. She concludes that cardinals prefer this
food more that other birds do. What type of
reasoning is Kim using?
deductive reasoning
inductive reasoning
subjective reasoning
personal bias
65%
15%
ias
al
b
ng
ive
su
bj
ec
t
ive
in
du
ct
10%
pe
rs
on
re
a
so
ni
re
a
as
on
i
re
ive
uc
t
so
ni
ng
ng
10%
de
d
1.
2.
3.
4.
To find out why food left on the
kitchen counter eventually molds is an
example of
48%
using scientific inquiry
developing a theory
making a prediction
collecting data
33%
19%
a
co
l
le
ct
in
gd
at
n
ed
ic t
io
pr
m
ak
in
ga
ng
lo
pi
de
ve
cie
nt
ifi
ci
at
he
o
nq
ui
ry
ry
0%
us
in
gs
1.
2.
3.
4.
During an experiment, which factors
must be controlled so that researchers
can draw logical conclusions
from
the
25%
25%
25%
25%
experiment?
1.
2.
3.
4.
variables
hypotheses
inquiries
theories
1
2
3
4
Be able to read a data chart and identify:
• The manipulated/independent variable
• The responding/dependent variable
• Be able to make a prediction about future
data
• Be able to draw a conclusion based on given
data
Similar to the Simpson’s worksheet…
Be able to read a scenario and identify
• The manipulated/independent variable
• The responding/dependent variable
• The control group/variables
Be able to read a data chart and
• Use inductive or deductive reasoning to form
conclusions
• Make predictions
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