Methoden vergleichen

	Bayesian t-Test	Der Mann-Whitney-U-Test
Fachgebiet	Bayes-Statistik	Statistik
Familie	Bayesian methods	Hypothesis test
Entstehungsjahr	2009	1947
Urheber	Rouder, Speckman, Sun, Morey & Iverson	H. B. Mann & D. R. Whitney
Typ	Bayesian hypothesis test	Nonparametric two-group comparison
Wegweisende Quelle	Rouder, J. N., Speckman, P. L., Sun, D., Morey, R. D. & Iverson, G. (2009). Bayesian t Tests for Accepting and Rejecting the Null Hypothesis. Psychonomic Bulletin & Review, 16(2), 225–237.	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.
Aliasnamen	bayesian two-sample t-test, bayes factor t-test, Bayesçi t-Testi	Mann-Whitney-Wilcoxon test, Wilcoxon rank-sum test, Mann-Whitney U Testi
Verwandt	5	4
Zusammenfassung	The Bayesian t-test, formalised by Rouder and colleagues in 2009, is a two-group comparison method that works within a Bayesian framework. Instead of a p-value, it produces a Bayes Factor (BF₁₀) that quantifies the evidence the data provide for the alternative hypothesis relative to the null, and it reports the full posterior distribution of the standardised effect size δ with a highest-density interval.	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.