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. Author manuscript; available in PMC: 2021 Jul 3.
Published in final edited form as: J Biopharm Stat. 2020 Mar 4;30(4):639–648. doi: 10.1080/10543406.2020.1730866

Table 1:

Power and type I error for the 2-sided Wilcoxon Mann-Whitney rank-sum test, α = 0.05

Sample Size Method Effect Size
p=0.5 p=0.7 p=0.75 p=0.8 p=0.85 p=0.9
n=6, m=6 Noether 3 22 32 44 56 67
O’Brien-Castelloe n/a 26 39 54 69 82
Rosner-Glynn 5 19 27 38 53 74
Empirical - Normal 4 18 28 40 56 75
Empirical - Exp 4 18 28 40 56 74
Empirical - Laplace 4 18 28 39 55 72
Shieh - Normal 5 18 27 38 53 74
Shieh - Shifted Exp 5 19 28 39 53 72
Shieh - Laplace 5 19 27 38 53 72
n=15, m=15 Noether 3 48 66 81 91 97
O’Brien-Castelloe n/a 52 72 87 96 99
Rosner-Glynn 5 46 67 87 98 >99
Empirical - Normal 5 47 67 85 96 >99
Empirical - Exp 5 46 68 86 96 >99
Empirical - Laplace 5 46 68 85 95 99
Shieh - Normal 5 46 67 86 98 >99
Shieh - Shifted Exp 5 46 67 85 97 >99
Shieh - Laplace 5 46 67 86 97 >99
n=6, m=12 Rosner-Glynn 5 25 37 53 73 92
Empirical - Exp 4 24 37 54 73 90
Shieh - Shifted Exp 5 23 36 54 74 93
n=12, m=6 Rosner-Glynn 5 25 37 53 73 92
Empirical - Exp 4 26 39 55 72 86
Shieh - Shifted Exp 5 27 39 53 69 86

Above, n and m are the two sample sizes. p is a measure of effect size, i.e., the probability that the first random variable is less than the second variable, P(Y > X). Statistical power (%) is displayed rounded to the nearest whole percentage. Effect size H0 : p = 0.5 presents type I error. Exp=Exponential