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Welchのt検定(等分散を仮定しない)×マン・ホイットニーのU検定×
分野統計学統計学
系統Hypothesis testHypothesis test
提唱年19471947
提唱者B. L. WelchH. B. Mann & D. R. Whitney
種類Parametric mean comparison (unequal variances)Nonparametric two-group comparison
原典Welch, B. L. (1947). The generalization of Student's problem when several different population variances are involved. Biometrika, 34(1/2), 28–35. DOI ↗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 ↗
別名unequal variances t-test, Welch-Satterthwaite t-test, Welch t-Testi (Eşit Olmayan Varyans)Mann-Whitney-Wilcoxon test, Wilcoxon rank-sum test, Mann-Whitney U Testi
関連44
概要Welch's t-test is a parametric hypothesis test that compares the means of two independent groups without assuming their variances are equal. It was introduced by B. L. Welch in 1947 as a more robust generalization of Student's two-sample test for situations where the two groups have different spread.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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ScholarGate手法を比較: Welch t-test · Mann-Whitney U test. 2026-06-19に以下より取得 https://scholargate.app/ja/compare