d) independent sample t test.

Susan A. Nolan and Thomas E. Heinzen
Statistics for the Behavioral Sciences
Second Edition
Chapter 11:
The Independent-Samples t Test
iClicker Questions
Copyright © 2012 by Worth Publishers
Chapter 11
1. An independent samples t test is used with which type of
research design?
a) a within groups design
b) a between groups design
c) a paired samples design
d) a single sample design
Chapter 11
(Answer)
1. An independent samples t test is used with which type of
research design?
a) a within groups design
b) a between groups design
c) a paired samples design
d) a single sample design
Chapter 11
2. When using an independent samples t test we have to
create a:
a) distribution of differences between means.
b) difference score for each participant.
c) distribution of differences between raw scores.
d) distribution of the population.
Chapter 11
(Answer)
2. When using an independent samples t test we
have to create a:
a) distribution of differences between means.
b) difference score for each participant.
c) distribution of differences between raw scores.
d) distribution of the population.
Chapter 11
3. When conducting a study of gender differences, we have
to employ a(n):
a) single sample t test.
b) paired sample t test.
c) dependent samples t test.
d) independent sample t test.
Chapter 11
(Answer)
3. When conducting a study of gender differences, we have
to employ a(n):
a) single sample t test.
b) paired sample t test.
c) dependent samples t test.
d) independent sample t test.
Chapter 11
4. Which of the following statements is a correctly worded
null hypothesis for an independent sample t test?
a) On average, women categorize the same percentage
of cartoons as funny as men do.
b) On average, women categorize a different percentage of
cartoons as funny as men do.
c) On average, women categorize a smaller percentage of
cartoons as funny as men do.
d) On average, women categorize a larger percentage of
cartoons as funny as men do.
Chapter 11
(Answer)
4. Which of the following statements is a correctly worded
null hypothesis for an independent sample t test?
a) On average, women categorize the same percentage
of cartoons as funny as men do.
b) On average, women categorize a different percentage of
cartoons as funny as men do.
c) On average, women categorize a smaller percentage of
cartoons as funny as men do.
d) On average, women categorize a larger percentage of
cartoons as funny as men do.
Chapter 11
5. One difference between calculating an independent
samples t test for a paired samples t test is that with the
independent samples t test, we use the:
a) research hypothesis, not the null hypothesis.
b) median, not the mean.
c) variance, not the standard deviation.
d) standard deviation, not the variance.
Chapter 11
(Answer)
5. One difference between calculating an independent
samples t test for a paired samples t test is that with the
independent samples t test, we use the:
a) research hypothesis, not the null hypothesis.
b) median, not the mean.
c) variance, not the standard deviation.
d) standard deviation, not the variance.
Chapter 11
6. The weighted average of the two estimates of variance (one from
each sample) that are calculated when conducting an independentsamples t test is referred to as:
a) standard error.
b) pooled variance.
c) degrees of freedom.
d) the confidence interval.
Chapter 11
(Answer)
6. The weighted average of the two estimates of variance (one from
each sample) that are calculated when conducting an independentsamples t test is referred to as:
a) standard error.
b) pooled variance.
c) degrees of freedom.
d) the confidence interval.
Chapter 11
7. The formula for the degrees of freedom total is which of
the following?
a) Df total = N- 1
b) Df total = dfx X dfy
c) Df total = dfx - dfy
d) Df total = dfx + dfy
Chapter 11
(Answer)
7. The formula for the degrees of freedom total is which of the
following?
a) Df total = N- 1
b) Df total = dfx X dfy
c) Df total = dfx - dfy
d) Df total = dfx + dfy
Chapter 11
8. If a t score is calculated to be -.03 and our critical values
are -2.365 and 2.365, what decision do we make about our
research study?
a) Fail to reject the null hypothesis.
b) Reject the null hypothesis.
c) Accept the null hypothesis.
d) Accept the research hypothesis.
Chapter 11
(Answer)
8. If a t score is calculated to be -.03 and our critical values
are -2.365 and 2.365, what decision do we make about our
research study?
a) Fail to reject the null hypothesis.
b) Reject the null hypothesis.
c) Accept the null hypothesis.
d) Accept the research hypothesis.
Chapter 11
9. Which statement is true about final decisions make from a
t test?
a) Hypothesis tests provide more information then
confidence intervals.
b) Confidence intervals provide more information than
hypothesis tests.
c) Hypothesis tests and confidence intervals are the same
thing.
d) Effect size cannot be calculated for t tests.
Chapter 11
(Answer)
9. Which statement is true about final decisions make from a
t test?
a) Hypothesis tests provide more information then
confidence intervals.
b) Confidence intervals provide more information than
hypothesis tests.
c) Hypothesis tests and confidence intervals are the same
thing.
d) Effect size cannot be calculated for t tests.
Chapter 11
10. For an independent samples t test, which statistic do
we use to measure effect size?
a) Cohen’s d
b) pooled variance
c) confidence intervals
d) degrees of freedom
Chapter 11
(Answer)
10. For an independent samples t test, which statistic do
we use to measure effect size?
a) Cohen’s d
b) pooled variance
c) confidence intervals
d) degrees of freedom
Chapter 11
11. In data transformations, such as the square root
transformation, are useful:
a) when there have not been enough subjects tested to
conduct a proper analysis.
b) when you want to change the value of some scores in
the data set, but not all of them.
c) when you want the data in a skewed data set to be
more normal.
d) when you want to increase the variance of your scores.
Chapter 11
(Answer)
11. In data transformations, such as the square root
transformation, are useful:
a) when there have not been enough subjects tested to
conduct a proper analysis.
b) when you want to change the value of some scores in
the data set, but not all of them.
c) when you want the data in a skewed data set to be
more normal.
d) when you want to increase the variance of your scores.