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Solved Statistics problems. Practice exercises



a. Exercise 4—Kruskall-Wallis Test

A large corporation has been sending many of its first-level managers to an off-site supervisory skills course. Four different management development centers offer this

course, and the corporation wants to determine whether they differ in the quality of training provided. A sample of 20 employees who have attended these programs has been chosen and the employees ranked in terms of supervisory skills. The results follow.

COURSE

SUPERVISORY SKILLS RANK

1

3

14

10

12

13

2

2

7

1

5

11

3

19

16

9

18

17

4

20

4

15

6

8

Note that the top-ranked supervisor attended course 2 and the lowest-ranked supervisor attended course 4. Use α = .05 and test to see whether there is a significant difference in the training provided by the four programs.

Solution to Exercise d.

For the Kruskall-Wallis test we need a table with the respective ranks, which is already provided. With this table, we need to compute the following statistics:

where

BG (Ranks) = Between Groups sum of squares

= unbiased variance of all ranks

We have the following table:

COURSE

SUPERVISORY SKILLS RANK

Sum

Average

1

3

14

10

12

13

52

10.4

2

2

7

1

5

11

26

5.2

3

19

16

9

18

17

79

15.8

4

20

4

15

6

8

53

10.6

Sums

44

41

35

41

49

TOTAL

210

Average

11

10.25

8.75

10.25

12.25

Average

10.5

Using this table we obtain

which means

With this information, we compute finally the KW statistics:

The calculation of comes directly from the table. We have to find now the respective p-value for a Chi-squared distribution with 3 degrees of freedom (4 groups minus 1). At the 0.05 level of significance, the cutoff value for acceptance is c=7.81, but since KW=8.02857>7.81, we reject the null hypothesis of no difference between the groups, and we conclude, at the 0.05 level of significance that there is a difference between the training provided by the different courses.



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