Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

Sign Test and Wilcoxon Signed-Ranks Test What is a major advantage of the Wilcoxon signed-ranks test over the sign test when analyzing data consisting of matched pairs?

Short Answer

Expert verified

The Wilcoxon signed-ranks test uses more information about the data and tends to generate results that better reflect the true nature of the data since the sign test just uses signs of differences. The Wilcoxon signed-ranks test, on the contrary, incorporates ranks of the differences.

This is one major advantage of the Wilcoxon-signed ranks test.

Step by step solution

01

Given information

The Wilcoxon signed-ranks test uses the ranks of the differences between paired values to test if the median of the differences is equal to 0.

02

Wilcoxon signed-ranks test and sign test

The sign test and the Wilcoxon signed-ranks test are non-parametric tests that are used to check whether the given two samples are from the same population or not based on the median of the samples.

The sign test uses the signs of the differences between the values.

The Wilcoxon signed-ranks test uses the ranks as well as the signs of the differences between the values.

03

Advantage of Wilcoxon signed-ranks test

The Wilcoxon signed-ranks test is used to test whether the median of the differences of the paired values is equal to 0.

The major advantage of the Wilcoxon signed-ranks test is that it uses the ranks of the differences instead of just their signs.

The results of the Wilcoxon signed-ranks test generate better results that are more comprehensible than the sign test.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Using Nonparametric Tests. In Exercises 1โ€“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

Ages of Best Actresses and Best Actors Listed below are ages of Best Actresses and Best Actors at the times they won Oscars (from Data Set 14 โ€œOscar Winner Ageโ€ in Appendix B). Do these data suggest that there is a correlation between ages of Best Actresses and Best Actors?

Actress

61

32

33

45

29

62

22

44

54

Actor

45

50

48

60

50

39

55

44

33

Runs Test with Large Samples. In Exercises 9โ€“12, use the runs test with a significance level of\(\alpha \)= 0.05. (All data are listed in order by row.)

Baseball World Series Victories Test the claim that the sequence of World Series wins by American League and National League teams is random. Given on the next page are recent results, with A = American League and N = National League.

A

N

A

N

N

N

A

A

A

A

N

A

A

A

A

N

A

N

N

A

A

N

N

A

A

A

A

N

A

N

N

A

A

A

A

A

N

A

N

A

N

A

N

A

A

A

A

A

A

A

N

N

A

N

A

N

N

A

A

N

N

N

A

N

A

N

A

N

A

A

A

N

N

A

A

N

N

N

N

A

A

A

N

A

N

A

N

A

A

A

N

A

N

A

A

A

N

A

N

A

A

N

A

N

A

N

N

N

A

N











Using Nonparametric Tests. In Exercises 1โ€“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


Using the Kruskal-Wallis Test. In Exercises 5โ€“8, use the Kruskal-Wallis test.

Car Crash Measurements Use the following listed chest deceleration measurements (in g, where g is the force of gravity) from samples of small, midsize, and large cars. (These values are from Data Set 19 โ€œCar Crash Testsโ€ in Appendix B.) Use a 0.05 significance level to test the claim that the different size categories have the same median chest deceleration in the standard crash test. Do the data suggest that larger cars are safer?

Small

44

39

37

54

39

44

42

Midsize

36

53

43

42

52

49

41

Large

32

45

41

38

37

38

33

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free