Eight observations were randomly selected from populations that were not necessarily normally distributed. Use the 0.05 significance level, a two-tailed test, and the Wilcoxon rank-sum test.
Population A: | 38 | 45 | 56 | 57 | 61 | 69 | 70 | 79 |
Population B: | 26 | 31 | 35 | 42 | 51 | 52 | 57 | 62 |
State the decision rule. Use the 0.05 significance level.
H0: The distributions are the same.
H1: The distributions are not the same.
Complete the following table.
What is the Wilcoxon rank-sum test value?
What is your decision regarding H0? Is there a difference between the two populations?
Following table shows the combined data with ranks:
Population | Score | Rank |
B | 26 | 1 |
B | 31 | 2 |
B | 35 | 3 |
A | 38 | 4 |
B | 42 | 5 |
A | 45 | 6 |
B | 51 | 7 |
B | 52 | 8 |
A | 56 | 9 |
A | 57 | 10.5 |
B | 57 | 10.5 |
A | 61 | 12 |
B | 62 | 13 |
A | 69 | 14 |
A | 70 | 15 |
A | 79 | 16 |
Following table shows the rank sum :
Score (A) | Rank | Score (B) | Rank |
38 | 4 | 26 | 1 |
45 | 6 | 31 | 2 |
56 | 9 | 35 | 3 |
57 | 10.5 | 42 | 5 |
61 | 12 | 51 | 7 |
69 | 14 | 52 | 8 |
70 | 15 | 57 | 10.5 |
79 | 16 | 62 | 13 |
Total | 86.5 | 49.5 |
Now we have
The test statistics is
U = 13.5
The critical value for test statistics for alpha = 0.05 is 13.
Since U > 13 so we reject the null hypothesis. There is no difference between the two populations.
Eight observations were randomly selected from populations that were not necessarily normally distributed. Use the 0.05...
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