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Statistics for the Behavioral Sciences by Frederick J. Gravetter, Larry B. Wallnau ISBN 10: 1305504917 ISBN 13: 9781305504912

Statistics is one of the most practical and essential courses that you will take, and a primary goal of this popular text is to make the task of learning statistics as simple as possible. Straightforward instruction, built-in learning aids, and real-world examples have made STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition the text selected most often by instructors for their students in the behavioral and social sciences. The authors provide a conceptual context that makes it easier to learn formulas and procedures, explaining why procedures were developed and when they should be used. This text will also instill the basic principles of objectivity and logic that are essential for science and valuable in everyday life, making it a useful reference long after you complete the course.

Statistics is one of the most practical and essential courses that you will take, and a primary goal of this popular text is to make the task of learning statistics as simple as possible. Straightforward instruction, built-in learning aids, and real-world examples have made STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition the text selected most often by instructors for their students in the behavioral and social sciences. The authors provide a conceptual context that makes it easier to learn formulas and procedures, explaining why procedures were developed and when they should be used. This text will also instill the basic principles of objectivity and logic that are essential for science and valuable in everyday life, making it a useful reference long after you complete the course.

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690 APPENDIX E | Hypothesis Tests for Ordinal Data: Mann-Whitney, Wilcoxon, Kruskal-Wallis, and Friedman Tests

EXAMPLE E.1

We begin with two separate samples with n 5 6 scores in each.

Sample A (treatment 1): 27 2 9 48 6 15

Sample B (treatment 2): 71 63 18 68 94 8

Next, the two samples are combined, and all 12 scores are ranked.

Ranks for Sample A 7 1 4 8 2 5

Ranks for Sample B 11 9 6 10 12 3

Each individual in sample A is assigned 1 point for every score in sample B that

has a higher rank. U A

5 4 1 6 1 5 1 4 1 6 1 5 5 30. Similarly, U B

5 0 1 0 1 2 1

0 1 0 1 4 5 6.

Thus, the Mann-Whitney U is 6. As a simple check on your arithmetic, note that

U A

1 U B

5 n A

n B

. For these data, 30 1 6 5 6(6).

■ Computing U for Large Samples

Because the process of counting points to determine the Mann-Whitney U can be

tedious, especially with large samples, there is a formula that will generate the U value

for each sample. To use this formula, you combine the samples and rank-order all

the individuals as before. Then you must find SR A

, which is the sum of the ranks for

individuals in sample A, and the corresponding SR B

for sample B. The U value for each

sample is then computed as follows: For sample A,

and for sample B,

U A

5 n A

n B

1 n A sn A 1 1d

2

2SR A

U B

5 n A

n B

1 n sn 1 1d

B B

2SR

2

B

These formulas are demonstrated using the data from Example E.1. For sample A, the

sum of the ranks is

For sample B, the sum of the ranks is

SR A

5 1 1 2 1 4 1 5 1 7 1 8 5 27

SR B

5 3 1 6 1 9 1 10 1 11 1 12 5 51

By using the special formula, for sample A,

U A

5 n A

n B

1 n sn 1 1d

A A

2

5 6s6d 1 6s7d

2 2 27

5 36 1 21 2 27

5 30

2SR A

For sample B,

U B

5 n A

n B

1 n sn 1 1d

B B

2

5 6s6d 1 6s7d

2 2 51

5 36 1 21 2 51

5 6

2SR B

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