Final_KEY_2011

Final_KEY_2011 - Name: _KEY_ 6 May 2011 IE330 Spring 2011...

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Name: ________________KEY___________________ 1 6 May 2011 IE330 Spring 2011 Final Exam Part 1: Mandatory (Chapters 15 and 16) No calculators, closed book, closed notes. Do not tear off any pages.
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Name: ________________KEY___________________ 2 CHAPTER 15 - Multiple choice 1. (4 points) Concerning handling values that are equal to the hypothesized value in nonparametric tests, which of the following are true? (Select all that are true.) a. In a sign test, ties with the hypothesized median should be discarded. b. In a Wilcoxon signed-rank test, ties with the hypothesized median should be given the average of the ranks they would have if they were slightly different. c. In a Kruskal-Wallis test, ties with the hypothesized value are discarded. d. In a Wilcoxon rank-sum test, ties with the hypothesized value are given the average of the ranks they would have if they were slightly different. e. None of the above is true. 2. (4 points) Which of the following are assumptions of the Kruskal-Wallis test? (Select all that are true.) a. The populations must come from a normal distribution. b. The populations must have equal variances. c. The populations must be continuous. d. The populations must have similar distributions. e. None of the above is an assumption of the Kruskal-Wallis test. 3. (4 points) Which of the following would be a case where a non-parametric test should not be used? (Select all that are true.) a. When the variance cannot be stabilized using transformations. b. When all the assumptions of a parametric test are met. c. When there are outliers that cannot be removed. d. When the populations are categorical and not continuous. e. None of the above are true. 4. (2 points) I have a distribution that is highly skewed, with several (valid) outliers out on one tail of the distribution. What is the best test to use to determine if the median of that distribution is equal to 5.2? (Choose the best answer.) a. t-test b. Sign test c. Kruskal-Wallis test d. Wilcoxon signed-rank test e. None of the above 5. (4 points) I have collected paired data and intended to do a paired t-test on the resulting data. However, in inspecting the data I find that the assumptions of the paired t-test have not been met. Which of the following tests could I use instead? (Choose all that could be used.) a. Contingency table b. Runs test c. Rank transformation followed by a paired t-test d. Wilcoxon signed-rank test e. None of the above
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Name: ________________KEY___________________ 3 6. (4 points) Which of the following are true regarding a rank transformation? (Choose all that are true) a. It is equivalent to a simple linear regression. b. It replaces the values of the data with their ranks . c. A low p-value indicates that the rank transformation is significant. d. It requires that the data come from a symmetric distribution. e. None of the above are true. 7. (2 points) Which of the following is the best test to use instead of a two sample t- test when the assumptions for running a parametric test have not been met, but the distributions have the same shape and spread? (Choose the best answer.) a. Sign test b. Wilcoxon signed-rank test c. Wilcoxon rank-sum test d. Kruskal-Wallis test e. None of the above
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Final_KEY_2011 - Name: _KEY_ 6 May 2011 IE330 Spring 2011...

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