One assumption for parametric tests with independent measures data is that different treatment condi
Question: One assumption for parametric tests with independent measures data is that different treatment conditions have the same variance (homogeneity of variance assumption). However, a treatment effect that increases the mean often also increases the variability. In this situation, the parametric t-test or ANOVA is not justified and Mann Whitney should be used. The following data represent and example of this situation:
Treatment 1 (sample A) | Treatment 2 (sample B) |
1 | 8 |
5 | 20 |
0 | 14 |
2 | 27 |
4 | 6 |
2 | 10 |
3 | 19 |
A) Compute the mean and variance for each sample. Note the difference between the two sample variances
B) Use the Mann Whitney test with an alpha=0.05 to test for significant differences between the two treatments.
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See Solution: The solution consists of 2 pages
Deliverables: Word Document
Deliverables: Word Document
