1. Statistics for the Behavioral Sciences Second Edition Chapter 11: The Independent-Samples t Test iClicker Questions Copyright © 2012 by Worth Publishers Susan A. Nolan and Thomas E. Heinzen

2. 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

3. 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

4. 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.

5. 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.

6. 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

7. 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)

8. 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.

9. 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.

10. 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

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)

12. Chapter 11 6. The weighted average of the two estimates of variance (one from each sample) that are calculated when conducting an independent- samples t test is referred to as: a) standard error. b) pooled variance. c) degrees of freedom. d) the confidence interval.

13. Chapter 11 (Answer) 6. The weighted average of the two estimates of variance (one from each sample) that are calculated when conducting an independent- samples t test is referred to as: a) standard error. b) pooled variance. c) degrees of freedom. d) the confidence interval.

14. Chapter 11 7. The formula for the degrees of freedom total is which of the following? a) Df total = N- 1 b) Df total = df x X df y c) Df total = df x - df y d) Df total = df x + df y

15. 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 = df x X df y c) Df total = df x - df y d) Df total = df x + df y

16. 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.

17. 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)

18. 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.

19. 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.

20. 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

21. 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

22. 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

23. 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)