Hypothesis test
Mann-Whitney U test
The Mann-Whitney U test is the nonparametric alternative to the independent samples t-test, comparing two independent groups by ranking all observations together rather than relying on their means. It was introduced by H. B. Mann and D. R. Whitney in 1947 and does not require the data to be normally distributed.
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Sources
- Mann, H. B. & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics, 18(1), 50–60. DOI: 10.1214/aoms/1177730491 ↗
- Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed.). SAGE. ISBN: 978-1446249185
Related methods
Referenced by
Bayesian t-TestBrunner-Munzel TestDunn TestEquivalence Test (TOST)Independent t-testJonckheere-Terpstra TestKendall Tau CorrelationKruskal-Wallis testRuns TestSiegel-Tukey testSign TestSomers' DSpearman CorrelationTrimmed Mean TestTwo-Sample Kolmogorov-Smirnov TestVan der Waerden TestWelch t-testWilcoxon signed-rank test