W ilcoxon– M ann– W hitney Test
Venita DePuy, Vance W. Berger, YanYan Zhou
Abstract
Venita DePuy, Vance W. Berger, YanYan Zhou
Abstract
Abstract The Wilcoxon‐Mann‐Whitney test evaluates the difference in medians between two similarly shaped populations, which have the same variance. This nonparametric test is similar to the two‐sample Student's t Test. The primary differences are that the t Test requires the assumption of normality, while the Wilcoxon‐Mann‐Whitney test can be performed where only rankings, that is, ordinal data, are recorded. While exact computations of the test statistic are possible, a large sample approximation is often used for ease of calculation. Both methods are available in various commercial statistical packages.
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Abstract The Wilcoxon‐Mann‐Whitney test evaluates the difference in medians between two similarly shaped populations, which have the same variance. This nonparametric test is similar to the two‐sample Student's t Test. The primary differences are that the t Test requires the assumption of normality, while the Wilcoxon‐Mann‐Whitney test can be performed where only rankings, that is, ordinal data, are recorded. While exact computations of the test statistic are possible, a large sample approximation is often used for ease of calculation. Both methods are available in various commercial statistical packages.
Key concepts: Nonparametric statistics, Wilcoxon signed-rank test, Statistics, Mann–Whitney U test, Mathematics, Normality test, Test (biology), Test statistic