Power
is
the
ability
of
a
statistical
test
to
do
which
of
the
following?
correctly
reject
null
hypotheses
incorrectly
fail
to
reject
null
hypotheses
correctly
fail
to
reject
null
hypotheses
incorrectly
reject
null
hypotheses
Correct.
Power
is
a
measure
of
the
probability
to
correctly
reject
the
null
hypothesis
in
support
of
the
study.
Remember,
rejecting
the
null
hypothesis
means
we
have
observed
an
effect
in
our
data.
Power
is
the
ability
to
detect
an
effect
that
actually
exists
in
the
"true
state
of
affairs."
In
the
context
of
inferential
decision
making,
if
B
equals
.10,
which
of
the
following
statements
is
true?
The
probability
of
correctly
rejecting
the
null
hypothesis
is
10%.
The
probability
of
incorrectly
retaining
the
null
hypothesis
is
10%.
The
probability
of
incorrectly
rejecting
the
null
hypothesis
is
10%.
The
probability
of
correctly
retaining
the
null
hypothesis
is
10%.
Correct.
Recall
that
B
is
a
measure
of
the
type
of
error
(a
Type
Il
error)
that
results
from
a
false
null
hypothesis.
That
is,
it
is
the
probability
of
deciding
there
is
no
effect
based
on
our
data
when
there
is
an
effect
in
the
"actual
state
of
affairs."
As
the
power
of
a
statistical
test
increases,
what
happens
to
the
Type

error
rate?
It
decreases.
It
increases.
It
remains
the
same.
Correct.
Power
has
a
direct
relationship
with
the
probability
of
Type
Il
error
rates.
As
the
power
of
a
statistical
test
increases,
what
happens
to
the
Type
Il
error
rate?
It
remains
the
same.
It
increases.
It
decreases.
Correct.
Power
is
affected
by
many
factors,
and
as
those
factors
are
controlled
or
minimized,
sensitivity
is
improved.