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BESC Final Questions and Correct Answers

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BESC Final Questions and Correct Answers

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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

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