Question

Suppose course evaluation ratings for four college instructors are shown in the following table. Instructor Black...

Suppose course evaluation ratings for four college instructors are shown in the following table.

Instructor
Black Jennings Swanson Wilson
89 86 89 80
80 79 77 83
78 81 69 57
69 83 81 72
97 98 83 88
68 98 81 86
83 84
94 85
82

Use α = 0.05 and test for a significant difference among the rating for these instructors.

State the null and alternative hypotheses.

H0: Not all populations of teaching evaluations are identical.
Ha: All populations of teaching evaluations are identical.

H0: MedianB ≠ MedianJ ≠ MedianS ≠ MedianW
Ha: MedianB = MedianJ = MedianS = MedianW     

H0: MedianB = MedianJ = MedianS = MedianW
Ha: MedianB < MedianJ > MedianS > MedianW

H0: MedianB = MedianJ = MedianS = MedianW
Ha: MedianB ≠ MedianJ ≠ MedianS ≠ MedianW

H0: All populations of teaching evaluations are identical.
Ha: Not all populations of teaching evaluations are identical.

Find the value of the test statistic. (Round your answer to two decimal places.)

Find the p-value. (Round your answer to three decimal places.)

p-value =

What is your conclusion?

Do not reject H0. There is sufficient evidence to conclude that there is a significant difference among the rating for these instructors.

Do not reject H0. There is not sufficient evidence to conclude that there is a significant difference among the rating for these instructors.     

Reject H0. There is sufficient evidence to conclude that there is a significant difference among the rating for these instructors.

Reject H0. There is not sufficient evidence to conclude that there is a significant difference among the rating for these instructors.

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Answer #1

The statistical software output for this problem is:

Kruskal-Wallis results: Data stored in separate columns. Results adjusted for ties DF Chi-Square P-value 3 3.5723212 0.3115 S

Hence,

Hypotheses:

H0: All populations of teaching evaluations are identical.
Ha: Not all populations of teaching evaluations are identical.

Test statistic = 3.57

P - value = 0.312

Conclusion: Option B is correct.

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