Degree of freedom for Means: Wilcoxon-Mann-Whitney test
Hi;
My G*Power setup is as follows and my method is A.R.E.
1) What does ARE stand for in G*Power?
2) my degree of freedom is 53.2960000. My question is that is my DF Ok? I didn't set it up specifically and the value is awkward.
3) how can i interpret this with my results? E.g. Given a b and c, the mean difference is k, so that I can reject/accept null hypothesis. What are my parameters?
Best regards.
My G*Power setup is as follows and my method is A.R.E.
1) What does ARE stand for in G*Power?
2) my degree of freedom is 53.2960000. My question is that is my DF Ok? I didn't set it up specifically and the value is awkward.
3) how can i interpret this with my results? E.g. Given a b and c, the mean difference is k, so that I can reject/accept null hypothesis. What are my parameters?
t tests - Means: Wilcoxon-Mann-Whitney test (two groups)
Options: A.R.E. method
Analysis: A priori: Compute required sample size
Input: Tail(s) = One
Parent distribution = min ARE
Effect size d = 0.9076923
α err prob = 0.05
Power (1-β err prob) = 0.95
Allocation ratio N2/N1 = 1
Output: Noncentrality parameter δ = 3.3748581
Critical t = 1.6739508
Df = 53.2960000
Sample size group 1 = 32
Sample size group 2 = 32
Total sample size = 64
Actual power = 0.9541689
Best regards.
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