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PSYC 300B Final Exam Questions and Answers (2024/2025) (Verified Answers) with Complete Solution
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PSYC 300B Final Exam Questions and Answers (2024/2025) (Verified Answers) with Complete Solution
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PSYC300B
Final
Exam
1-r2
-
CORRECT
ANSWER-unexplained
variability
3
advantages
to
j
>2
ANOVA
design
-
CORRECT
ANSWER-controls
for
type
1
error
better
interpretation
of
impact
on
IV
and
DV
more
powerful
a
design
is
multi-factorial
when...
-
CORRECT
ANSWER-it
has
more
than
1
IV
always
requires
multiple
comparisons
as
part
of
analyses
has
more
than
1
DV
one
of
your
factors
must
have
at
least
one
level
advantages
of
planned
comparisons
-
CORRECT
ANSWER-more
powerful
alternative
(more
likely
to
reject
null)
all
of
the
following
could
be
considered
a
measured
IV
except...
-
CORRECT
ANSWER-randomly
assigning
Ps
to
either
drug
or
placebo
group
and
studying
effects
of
drugs
on
attention
processes
ANOVA
-
CORRECT
ANSWER-analysis
of
variance
that
has
equal
n's
in
each
group
is
a
specialized
form
of
multiple
regression
z-test,
t-test,
ANOVA
and
multiple
regression
all
mathematically
related
are
chi
test
statistics
allowed
to
be
negative
values?
-
CORRECT
ANSWER-no,
if
they
are
you
report
that
the
results
are
unknown
and
that
something
went
terribly
wrong
assumptions
when
applying
factorial
ANOVA
-
CORRECT
ANSWER-same
as
1-way
between-group
ANOVA
&
independent
samples
t
test
all
assumptions
apply
to
each
cell
in
design
homogeneity
of
sample
size
homogeneity
of
pop
variances
DV
normally
distributed
in
population
each
cell
associated
with
its
own
population
little
flexibility
for
ratios
between
s2
and
n
n>=7
cell
means
-
CORRECT
ANSWER-represent
data
for
each
condition
in
experiment
#
cell
means:
multiply
design
label
(2x3
=
6)
characteristics
of
F-statistic
-
CORRECT
ANSWER-assymetric
/
positively
skewed
based
on
ratio
of
variances
column
main
effect
(effect
type
of
memory
test)
-
CORRECT
ANSWER-averages
scores
for
young
and
old
Ps
on
each
type
of
memory
test
not
relevant
if
score
came
from
older
or
younger
P complex
comparisons
-
CORRECT
ANSWER-compare
combined
pairs
of
means
average
conditions
and
compare
averaged
mean
to
mean
for
control
group
do
you
have
to
report
all
planned
comparisons?
-
CORRECT
ANSWER-no,
you
only
need
to
report
the
planned
comparisons
that
are
of
interest
to
you
do
you
have
to
report
all
post-hoc
comparisons?
-
CORRECT
ANSWER-yes
even
if
they
don't
make
sense
Dunnett's
Test
-
CORRECT
ANSWER-powerful
option
but
constrained
to
specific
contrasts
does
NOT
require
significant
Fobs
(but
convention
holds
that
you
do)
j-1
comparisons
error
rate
-
CORRECT
ANSWER-probability
of
making
a
type
1
error
error
rate
per
comparison
(protected
t)
-
CORRECT
ANSWER-probability
of
making
type
1
error
for
each
individual
comparison
error
rate
per
experiment/
experiment-wise
error
or
error
rate
per
family
/
family-wise
error
-
CORRECT
ANSWER-probability
of
making
type
1
error
for
family
of
comparisons
involves
uniquely
computed
table
of
critical
values
F-statistic
depends
on
2
Df
-
CORRECT
ANSWER-"family"
or
"series
of
curves"
2
calculations
of
df
from
s2g
and
s2e
final
stage
of
science
cycle
-
CORRECT
ANSWER-revise
theory
based
on
data
Fisher's
LSD
Test
-
CORRECT
ANSWER-requires
significant
Fobs
powerful
test
(easy
to
reject
null)
j=3
For
both
the
Random
Assignment
Model
and
the
Random
Sampling
Model
of
Hypothesis
Testing,
the
different
conditions
within
a
related
samples
design
(k
=
3)
must
have
equal
numbers
of
participants
in
each
cell.
-
CORRECT
ANSWER-true
generalizability
-
CORRECT
ANSWER-effect
of
one
factor
is
the
same
across
levels
of
other
factor
Fobs
for
interaction
between
factors
is
not
statistically
significant
how
do
you
calculate
df
for
error
term
in
a
between-groups
design?
-
CORRECT
ANSWER-n-1
(in
each
cell)
summed
across
all
cells
(nt-
#
of
cells)
how
do
you
test
main
effect?
-
CORRECT
ANSWER-computed
from
marginal
means
effect
of
1
factor
averaged
over
levels
of
other
factor
some
main
effects
can
be
predicted
a
priori
from
theory
/
past
research
if
we
have
nt=15
which
design
can
we
not
use?
-
CORRECT
ANSWER-binomial
exact
test
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