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Mann-Whitney U 检验×独立样本t检验×
领域统计学统计学
方法族Hypothesis testHypothesis test
起源年份19471908
提出者H. B. Mann & D. R. WhitneyStudent (W. S. Gosset)
类型Nonparametric two-group comparisonParametric mean comparison
开创性文献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 ↗Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗
别名Mann-Whitney-Wilcoxon test, Wilcoxon rank-sum test, Mann-Whitney U Testistudent t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
相关44
摘要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.The independent samples t-test is a parametric hypothesis test that compares the means of two independent groups to decide whether they differ significantly. It builds on the t-distribution introduced by Student (W. S. Gosset) in 1908 and assumes the measured values are continuous, approximately normally distributed, and have equal variances.
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ScholarGate方法对比: Mann-Whitney U test · Independent t-test. 于 2026-06-19 检索自 https://scholargate.app/zh/compare