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Mann Whitney U Critical Values. Critical Values of the Mann-Whitney U Two-Tailed Testing n 1 n 2 α 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 05 – 0 1 2 3 4 5 6 7 8 3 01 – 0 1 2 305 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 4 01 – 0 1 2 3 4 5 6 7 805 2 3 5 6 7 8 9 11 12 13 14 15 17 18 19 20 5 01 0 1 2 3 4 5 6 7 8 9 10 11 12 13. To determine the appropriate critical value we need sample sizes for Example. N 1 n 2 5 and our two-sided level of significance α005. Dashes - indicate that the sample size is too small to reject the Null Hypothesis at the chosen α level.
Calculate your test values using the equations below. Critical values of r for one- and two-tailed tests. Is anybody aware of any resource for critical values. The bigger the difference between your groups. N 1 n 2 5 and our two-sided level of significance α005. For Example 1 the critical value is 2 and the decision rule is to reject H 0 if U 2.
A table of critical values of U shows you how likely it is to obtain your particular value of U purely by chance.
Statistical Table 91Critical values of t. Critical Values of the Mann-Whitney U Two-Tailed Testing n 1 n 2 α 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 05 – 0 1 2 3 4 5 6 7 8 3 01 – 0 1 2 305 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 4 01 – 0 1 2 3 4 5 6 7 805 2 3 5 6 7 8 9 11 12 13 14 15 17 18 19 20 5 01 0 1 2 3 4 5 6 7 8 9 10 11 12 13. The Mann-Whitney U test is a nonparametric test that allows two groups or conditions or treatments to be compared without making the assumption that values are normally distributed. Since our test statistic 12 is greater than our critical value 6 we fail to reject the null hypothesis. 5 P 005 Size of the largest sample n2 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23. Ua and Ub na nb Ua For these data Ua 32 and Ub na nb Ua 66 32 4 We would use Ub 4 For small samples n 20 for each group.