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.

Speed Dating Repeat the preceding exercise using the Wilcoxon signed-ranks test.

Short Answer

Expert verified

Using the Wilcoxon signed-ranks test, it is concluded that the given sample does not come from a population with a median equal to 5.

Step by step solution

01

Given information

A sample is given showing the male attractiveness ratings by females.

02

Define the Wilcoxon signed-ranks test and identify the hypotheses

The Wilcoxon signed-ranks test is used to test the claim that the sample comes from a population with a median equal to 5.

The null hypothesis is as follows:

The given sample comes from a population with a median equal to 5.

The alternative hypothesis is as follows:

The given sample comes from a population with a median not equal to 5.

03

Calculate the signed-ranks

First subtract all values from 5.

Compute the ranks of all the absolute difference values by assigning a rank of 1 to the lowest value, 2 to the next lowest value and so on until the greatest value.

If some values are equal, assign the mean of the ranks to all those values.

For example, if 2 observations have the same value and occupy the positions of 8 and 9, then the mean of 8 and 9 equal to 8.5 is assigned to both the observations.

While ranking, exclude all differences with a value of 0.

Write the sign of the ranks corresponding to the sign of the difference.

The following table shows the signed-ranks:

Ratings

Differences (d)

Ranks of |d|

Signed-Ranks

5

0

\( \times \)

\( \times \)

8

-3

15

-15

3

2

7

7

8

-3

15

-15

6

-1

2

-2

10

-5

21

-21

3

2

7

7

7

-2

7

-7

9

-4

20

-20

8

-3

15

-15

5

0

\( \times \)

\( \times \)

5

0

\( \times \)

\( \times \)

6

-1

2

-2

8

-3

15

-15

8

-3

15

-15

7

-2

7

-7

3

2

7

7

5

0

\( \times \)

\( \times \)

5

0

\( \times \)

\( \times \)

6

-1

2

-2

8

-3

15

-15

7

-2

7

-7

8

-3

15

-15

8

-3

15

-15

8

-3

15

-15

7

-2

7

-7

Compute the sum of all the positive ranks as shown:

\(\begin{array}{c}Su{m_{positive}} = 7 + 7 + 7\\ = 21\end{array}\)

Compute the absolute value of the sum of all the negative ranks:

\(\begin{array}{c}\left| {Su{m_{neg}}} \right| = \left| {\left( { - 15} \right) + \left( { - 15} \right) + .... + \left( { - 7} \right)} \right|\\ = \left| { - 210} \right|\\ = 210\end{array}\)

04

Test statistic

Let T be the smaller of the two sums.

Thus, T=21.

Here,n be the number of pared set of values for the which the differences is not equal to 0.

There are 21 values for which the difference is not equal to 0. So, the value of n is equal to 21.

Since n is less than 30, the test statistic value is equal to T.

05

Step 5:Determine the critical value and the conclusion of the test

The critical value of T for n=21 and\(\alpha = 0.05\)for the two-tailed test is equal to 59.

Since the test statistic is less than the critical value, the null hypothesis is rejected.

There is enough evidence to conclude that the given sample does not come from a population with a median equal to 5.

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Most popular questions from this chapter

Speed Dating Some of the nonparametric methods in this chapter use ranks of data. Find the ranks corresponding to these attractiveness ratings (1 = not attractive; 10 = extremely attractive) of males by females who participated in a speed dating event (from Data Set 18 “Speed Dating”):

5, 7, 7, 8, 7.

Foot Length , Height Listed below are foot lengths (cm) and heights (cm) of males from Data Set 2 “Foot and Height” in Appendix B. Which method of nonparametric statistics should be used? What characteristic of the data is investigated with this test?

Foot Length 27.8 25.7 26.7 25.9 26.4 29.2 26.8 28.1 25.4 27.9

Height 180.3 175.3 184.8 177.8 182.3 185.4 180.3 175.3 177.8 185.4

Using the Kruskal-Wallis Test. In Exercises 5–8, use the Kruskal-Wallis test.

Arsenic in Rice Listed below are amounts of arsenic in samples of brown rice from three different states. The amounts are in micrograms of arsenic and all samples have the same serving size. The data are from the Food and Drug Administration. Use a 0.01 significance level to test the claim that the three samples are from populations with the same median.

Arkansas

4.8

4.9

5

5.4

5.4

5.4

5.6

5.6

5.6

5.9

6

6.1

California

1.5

3.7

4

4.5

4.9

5.1

5.3

5.4

5.4

5.5

5.6

5.6

Texas

5.6

5.8

6.6

6.9

6.9

6.9

7.1

7.3

7.5

7.6

7.7

7.7

Which Test? Three different judges give the same singers ratings on a scale of 0 to 10. What method of this chapter can be used to determine whether one of the judges is tougher or more lenient than the others, as indicated by a median rating that is significantly different from the others?

Runs Test Consider sample data consisting of genders of criminals charged with hacking computer systems of corporations. Determine whether the following are true or false.

a. If the runs test suggests that sample data occur in a random order, then it follows that the data have been randomly selected.

b. If the runs test suggests that sample data occur in a random order, then there is not a significant difference between the proportions of males and females.

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