# Final_2010 - 4 May 2010 IE330 Spring 2010 Final Exam Part...

This preview shows pages 1–4. Sign up to view the full content.

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: 4 May 2010 IE330 Spring 2010 Final Exam Part 1: Mandatory (Chapters 15 and 16) No calculators, closed book, closed notes. Do not tear off any pages. 1 1. CHAPTER 15 - True/False questions (3 points each, 15 points total) a. ( TRUE or FALSE) In a sign test, the effect size is computed by dividing the difference in means by the standard error of the estimator. b. (TRUE or FALSE) For a Wilcoxon rank-sum test, tied values are discarded. c. ( TRUE or FALSE) Comparisons between levels of the factor cannot be made when using a Kruskal-Wallis test. d. ( TRUE or FALSE) If the data is symmetric but not normally distributed, the Wilcoxon signed-rank test is preferred over the sign test. e. (TRUE or FALSE) Non-parametric tests should not be used when there are many outliers in the data that cannot be removed. 2. CHAPTER 15 - Multiple choice questions (3 points each, 15 points total) a. Which of the following is useful for testing the stability of an alloy deformed by four different methods if the residuals are not normally distributed? i. Z-test ii. Sign test iii. Kruskal-Wallis test iv. Wilcoxon signed-rank test v. None of the above b. You have collected data on customer transaction times using one of two ATM display layouts. For each customer, you have a time when using display 1 and display 2, and you are interested in the effect of layout on the time it takes the customer to complete their transaction. The populations are not normally distributed. Which of the following tests could you use? i. Paired test ii. Sign test iii. Wilcoxon rank-sum test iv. Wilcoxon signed-rank test v. None of the above c. You are testing whether the mean of a population is equal to zero or not, but the data is not normally distributed. (The population is continuous.) Which of the following tests could you use for this purpose? i. 2 2 factorial test ii. Simple linear regression iii. Kruskal-Wallis test iv. Wilcoxon rank-sum test v. None of the above 2 d. In running a simple linear regression, you find that the residuals have non- constant variance, which cannot be stabilized using transformations. Which of the following non-parametric methods can be used instead? i. Wilcoxon signed-rank test ii. Wilcoxon rank-sum test iii. Sign test iv. Kruskal-Wallis test v. None of the above e. Which of the following are true concerning the Wilcoxon signed-rank test (choose all that are true)? i. The test compares the data against a hypothesized median ( if its mean then its correct) ii. The data should be free of outliers iii. The counts of values above and below the median are compared. iv. The data should come from a uniform distribution v. None of the above 3. CHAPTER 16 - True/False questions (3 points each, 15 points total) a. ( TRUE or FALSE) During the baseline process, it is recommended that 25-50 subgroups are used....
View Full Document

## This note was uploaded on 01/22/2012 for the course IE 370 taught by Professor Chunghorng,r during the Spring '08 term at Purdue University-West Lafayette.

### Page1 / 26

Final_2010 - 4 May 2010 IE330 Spring 2010 Final Exam Part...

This preview shows document pages 1 - 4. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online