1. Copyright © 2014, 2011 Pearson Education, Inc. 1 Active Learning Lecture Slides For use with Classroom Response Systems Chapter 26 Analysis of Variance

2. Copyright © 2014, 2011 Pearson Education, Inc. 2 An experiment with an equal number of observations for each treatment is called… A. an equal experiment. B. a fair experiment. C. a well designed experiment. D. a balanced experiment.

3. Copyright © 2014, 2011 Pearson Education, Inc. 3 An experiment with an equal number of observations for each treatment is called… A. an equal experiment. B. a fair experiment. C. a well designed experiment. D. a balanced experiment.

4. Copyright © 2014, 2011 Pearson Education, Inc. 4 Testing the slope in a simple regression of Y on a dummy variable D is equivalent to a pooled two-sample t-test of the difference between means. A. True B. False

5. Copyright © 2014, 2011 Pearson Education, Inc. 5 Testing the slope in a simple regression of Y on a dummy variable D is equivalent to a pooled two-sample t-test of the difference between means. A. True B. False

6. Copyright © 2014, 2011 Pearson Education, Inc. 6 The comparison of two or more averages obtained by fitting a regression model with dummy variables is called… A. analysis of marginality. B. analysis of variance. C. analysis of covariance. D. analysis of collinearity.

7. Copyright © 2014, 2011 Pearson Education, Inc. 7 The comparison of two or more averages obtained by fitting a regression model with dummy variables is called… A. analysis of marginality. B. analysis of variance. C. analysis of covariance. D. analysis of collinearity.

8. Copyright © 2014, 2011 Pearson Education, Inc. 8 Which of the following are characteristics of an ANOVA regression? I.fitted values are means of the categories II.the intercept is the average response for the baseline category III.each slope is the difference between the average of the response in a specific category and the average of the response in the baseline category A.I and II C. II and III B.I and IIID. I, II, and III

9. Copyright © 2014, 2011 Pearson Education, Inc. 9 A.I and II C. II and III B.I and IIID. I, II, and III Which of the following are characteristics of an ANOVA regression? I.fitted values are means of the categories II.the intercept is the average response for the baseline category III.each slope is the difference between the average of the response in a specific category and the average of the response in the baseline category

10. Copyright © 2014, 2011 Pearson Education, Inc. 10 An ANOVA regression in which the dummy variables derive from a single categorical variable is often called a one-way analysis of variance. A. True B. False

11. Copyright © 2014, 2011 Pearson Education, Inc. 11 An ANOVA regression in which the dummy variables derive from a single categorical variable is often called a one-way analysis of variance. A. True B. False

12. Copyright © 2014, 2011 Pearson Education, Inc. 12 Conditions for regression that are relevant in ANOVA regression are I.no obvious lurking variable II.evidently independent III.similar variances IV.nearly normal A.I, II and III B.II, III, and IV C.I, II, and IV D.I, II, III, and IV

13. Copyright © 2014, 2011 Pearson Education, Inc. 13 Conditions for regression that are relevant in ANOVA regression are I.no obvious lurking variable II.evidently independent III.similar variances IV.nearly normal A.I, II and III B.II, III, and IV C.I, II, and IV D.I, II, III, and IV

14. Copyright © 2014, 2011 Pearson Education, Inc. 14 An inferential procedure composed of numerous separate tests is called… A. multiple comparisons. B. multiple tests. C. multiplicity. D. both A. and C.

15. Copyright © 2014, 2011 Pearson Education, Inc. 15 An inferential procedure composed of numerous separate tests is called… A. multiple comparisons. B. multiple tests. C. multiplicity. D. both A. and C.

16. Copyright © 2014, 2011 Pearson Education, Inc. 16 Which of the following are ways to reduce the chance of a Type I error? A.Make fewer comparisons. B.Increase the level of confidence. C.Decrease the width of the confidence interval. D.Both A. and B.

17. Copyright © 2014, 2011 Pearson Education, Inc. 17 Which of the following are ways to reduce the chance of a Type I error? A.Make fewer comparisons. B.Increase the level of confidence. C.Decrease the width of the confidence interval. D.Both A. and B.

18. Copyright © 2014, 2011 Pearson Education, Inc. 18 Confidence intervals for the pairwise comparison of many means that adjust for multiple comparisons by replacing the t-percentile are the… A.Durbin-Watson confidence intervals. B.Bonferroni confidence intervals. C.Tukey confidence intervals. D.ANOVA confidence intervals.

19. Copyright © 2014, 2011 Pearson Education, Inc. 19 Confidence intervals for the pairwise comparison of many means that adjust for multiple comparisons by replacing the t-percentile are the… A.Durbin-Watson confidence intervals. B.Bonferroni confidence intervals. C.Tukey confidence intervals. D.ANOVA confidence intervals.

20. Copyright © 2014, 2011 Pearson Education, Inc. 20 Confidence intervals that adjust for multiple comparison by changing the  -level used in the standard interval to  /M for M intervals are the… A.Durbin-Watson confidence intervals. B.Bonferroni confidence intervals. C.Tukey confidence intervals. D.ANOVA confidence intervals.

21. Copyright © 2014, 2011 Pearson Education, Inc. 21 Confidence intervals that adjust for multiple comparison by changing the  -level used in the standard interval to  /M for M intervals are the… A.Durbin-Watson confidence intervals. B.Bonferroni confidence intervals. C.Tukey confidence intervals. D.ANOVA confidence intervals.