Page 1
BESC Final Questions and Correct
Answers
Which inferential test should be used to compare two
sample means to each other?
Ans: The two-sample t-test
The most important difference between Cohen's d and the
t-test is that Cohen's d ...
Ans: is not affected by sample size
What is the formula for the degrees of freedom (df) for a
two-sample t-test?
Ans: n-2
If a researcher wants to compare the effects of an
antidepressant to the effects of a placebo on levels of
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anxiety, then what is the independent variable (that is, the
IV)?
Ans: Medication: antidepressant vs. placebo
When the means of two groups are the same, then Cohen's
d ...
Ans: Will equal 0
A two-sample t-test is an appropriate test when
Ans: two samples are being compared on an interval or
ratio level variable
Imagine that a researcher conducts a one-tailed (i.e.,
directional) two-sample t-test with a critical value of -1.83
and gets an observed value (or test value) of t= +1.98. What
is the proper conclusion in this case?
,Page 3
Ans: Retain the null hypothesis
Cohen's d indicates the number of..
Ans: standard deviations between two means.
If a researcher wants to compare the effects of an
antidepressant to the effects of a placebo on levels of
anxiety, then what is the dependent variable (that is, the
DV)?
Ans: Levels of anxiety
If a researcher gathers data from participants before and
after they participate in an exercise training program and
wants to know whether their performance scores improved,
then he should use...
Ans: A one-tailed, repeated measures t-test
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If a research conducts an inferential test (such as a t-test)
and retains (i.e., fails to reject) the null hypothesis, then what
is the probability of a Type I error?
Ans: 0.00
One assumption of the two-sample t-test is that...
Ans: the two samples are independent of one another
Imagine that a researcher conducts a two-sample t-test with
critical values of ±2.10 and gets an observed value (or test
value) of t = 1.98. What is the proper conclusion in this case?
Ans: Retain the null hypothesis
BESC Final Questions and Correct
Answers
Which inferential test should be used to compare two
sample means to each other?
Ans: The two-sample t-test
The most important difference between Cohen's d and the
t-test is that Cohen's d ...
Ans: is not affected by sample size
What is the formula for the degrees of freedom (df) for a
two-sample t-test?
Ans: n-2
If a researcher wants to compare the effects of an
antidepressant to the effects of a placebo on levels of
,Page 2
anxiety, then what is the independent variable (that is, the
IV)?
Ans: Medication: antidepressant vs. placebo
When the means of two groups are the same, then Cohen's
d ...
Ans: Will equal 0
A two-sample t-test is an appropriate test when
Ans: two samples are being compared on an interval or
ratio level variable
Imagine that a researcher conducts a one-tailed (i.e.,
directional) two-sample t-test with a critical value of -1.83
and gets an observed value (or test value) of t= +1.98. What
is the proper conclusion in this case?
,Page 3
Ans: Retain the null hypothesis
Cohen's d indicates the number of..
Ans: standard deviations between two means.
If a researcher wants to compare the effects of an
antidepressant to the effects of a placebo on levels of
anxiety, then what is the dependent variable (that is, the
DV)?
Ans: Levels of anxiety
If a researcher gathers data from participants before and
after they participate in an exercise training program and
wants to know whether their performance scores improved,
then he should use...
Ans: A one-tailed, repeated measures t-test
, Page 4
If a research conducts an inferential test (such as a t-test)
and retains (i.e., fails to reject) the null hypothesis, then what
is the probability of a Type I error?
Ans: 0.00
One assumption of the two-sample t-test is that...
Ans: the two samples are independent of one another
Imagine that a researcher conducts a two-sample t-test with
critical values of ±2.10 and gets an observed value (or test
value) of t = 1.98. What is the proper conclusion in this case?
Ans: Retain the null hypothesis