Student Evaluations of Professors Example 1 in this section used samples of course evaluations, and the table below lists student evaluations of female professors and male professors (from Data Set 17 “Course Evaluations” in Appendix B). Are the requirements for using the Wilcoxon rank-sum test satisfied? Why or why not?

Female

3.9

3.4

3.7

4.1

3.7

3.5

4.4

3.4

4.8

4.1

2.3

4.2

3.6

4.4

Male

3.8

3.4

4.9

4.1

3.2

4.2

3.9

4.9

4.7

4.4

4.3

4.1



Short Answer

Expert verified

Yes, all the requirements of the Wilcoxon rank-sum test are fulfilled. They are:

  • The two samples should be independent. They should consist of values from two different sets of people.
  • Each of the two samples should have more than ten values. Here, both the samples corresponding to males and females have more than ten observations.

Step by step solution

01

Given information

Data are given on student evaluation of female and male professors.

02

Requirements of Wilcoxon rank-sum test

The following are the two requirements of the Wilcoxon rank-sum test:

  • The two samples should be independent and simple random samples.
  • The size of each sample should be more than 10.
03

Determine whether the requirements of the Wilcoxon rank-sum test are satisfied

Firstly, the student evaluations are given on two samples of professors that are different from each other. Hence, the observations are not matched pairs; they are random.

Thus, they are independent simple random samples.

Secondly, each of the two samples consists of more than ten values.

The sample size of course evaluation of students by female professors is 14.

The sample size of course evaluation of students by male professors is 12.

Therefore, both the requirements are satisfied for performing the Wilcoxon rank-sum test.

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Most popular questions from this chapter

Clinical Trials of Lipitor The sample data below are changes in LDL cholesterol levels in clinical trials of Lipitor (atorvastatin). It was claimed that Lipitor had an effect on LDL cholesterol. (The data are based on results given in a Parke-Davis memo from David G. Orloff, M.D., the medical team leader for clinical trials of Lipitor. Pfizer declined to provide the author with the original data values.) Negative values represent decreases in LDL cholesterol. Use a 0.05 significance level to test the claim that for those treated with 20 mg of Lipitor and those treated with 80 mg of Lipitor, changes in LDL cholesterol have the same median. What do the results suggest?

GroupTreatedwith20 mgofLipitor

-28

-32

-29

-39

-31

-35

-25

-36

-35

-26

-29

-34

-30


GroupTreatedwith80 mgofLipitor

-42

-41

-38

-42

-41

-41

-40

-44

-32

-37

-41

-37

-34

-31

Sample Size Advances in technology are dramatically affecting different aspects of our lives. For example, the number of daily print newspapers is decreasing because of easy access to Internet and television news. To help address such issues, we want to estimate the percentage of adults in the United States who use a computer at least once each day. Find the sample size needed to estimate that percentage. Assume that we want 95% confidence that the sample percentage is within two percentage points of the true population percentage.

Student Evaluations of Professors Use the sample data given in Exercise 1 and test the claim that evaluation ratings of female professors have the same median as evaluation ratings of male professors. Use a 0.05 significance level.

Using Nonparametric Tests. In Exercises 1–10, use a 0.05 significance level with the indicated test. If no particular test is specified, use the appropriate nonparametric test from this chapter.

Airline Fares Listed below are the costs (in dollars) of eight different flights from New York (JFK) to San Francisco for Virgin America, US Airways, United Airlines, JetBlue, Delta, American Airlines, Alaska Airlines, and Sun Country Airlines. (Each pair of costs is for the same flight.) Use the sign test to test the claim that there is no difference in cost between flights scheduled 1 day in advance and those scheduled 30 days in advance. What appears to be a wise scheduling strategy?

Flight scheduled one day in advance

584

490

584

584

584

606

628

717

Flight scheduled 30 days in advance

254

308

244

229

284

509

394

258

Using Nonparametric Tests. In Exercises 1–10, use a 0.05 significance level with the indicated test. If no particular test is specified, use the appropriate nonparametric test from this chapter.

Presidents, Popes, Monarchs Listed below are numbers of years that U.S. presidents, popes, and British monarchs lived after their inauguration, election, or coronation, respectively. Assume that the data are samples randomly selected from larger populations. Test the claim that the three samples are from populations with the same median.

Presidents

10

29

26

28

15

23

17

25

0

20

4

1

24

16

12


4

10

17

16

0

7

24

12

4

18

21

11

2

9

36


12

28

3

16

9

25

23

32








Popes

2

9

21

3

6

10

18

11

6

25

23

6

2

15

32


25

11

8

17

19

5

15

0

26







Monarchs

17

6

13

12

13

33

59

10

7

63

9

25

36

15


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