SME_8e_Ch_14_Section_2

# SME_8e_Ch_14_Section_2 - CHAPTER 14 SECTION 2 ANALYSIS OF...

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1 CHAPTER 14 SECTION 2: ANALYSIS OF VARIANCE MULTIPLE CHOICE 73. Which of the following is not true of Tukey's Multiple Comparison Method? a. It is based on the studentized range statistic to obtain the critical value needed to construct individual confidence intervals. b. It theoretically requires that all sample sizes be equal, or at least similar. c. It is more powerful than the LSD method. d. All of these choices are true. ANS: D PTS: 1 REF: SECTION 14.2 74. When is the Tukey multiple comparison method used? a. To test for normality. b. To test equal variances. c. To test for equality of a group of population means. d. To test for differences in pairwise means. ANS: D PTS: 1 REF: SECTION 14.2 75. Which of the following statements about multiple comparison methods is false? a. They are to be use once the F -test in ANOVA has been rejected. b. They are used to determine which particular population means differ. c. There are many different multiple comparison methods but all yield the same conclusions. d. All of these choices are true. ANS: C PTS: 1 REF: SECTION 14.2 76. In Fisher's least significant difference (LSD) multiple comparison method, the LSD value will be the same for all pairs of means if: a. all sample means are the same. b. all sample sizes are the same. c. all population means are the same. d. None of these choices. ANS: B PTS: 1 REF: SECTION 14.2 77. Fisher's least significant difference (LSD) multiple comparison method is flawed because a. it will increase α ; the probability of committing a Type I error b. it will increase β ; the probability of committing a Type II error c. it will increase both and , the probabilities of committing Type I and Type II errors, respectively. d. None of these choices. ANS: A PTS: 1 REF: SECTION 14.2

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2 TRUE/FALSE 78. The Bonferroni adjustment to Fisher's Least Significant Difference (LSD) multiple comparison method is made by dividing the specified experimentwise Type I error rate by the number of pairs of population means. ANS: T PTS: 1 REF: SECTION 14.2 79. The Bonferroni adjustment decreases the experimentwise Type I error rate, but it increases the probability of a Type II error. ANS: T
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## This note was uploaded on 09/28/2010 for the course FINOPMGT 250 taught by Professor Kumar during the Spring '10 term at University of Massachusetts Boston.

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SME_8e_Ch_14_Section_2 - CHAPTER 14 SECTION 2 ANALYSIS OF...

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