Methoden vergelijken

	Bayesiaanse t-toets	Mann-Whitney U-toets
Vakgebied	Bayesiaanse statistiek	Statistiek
Familie	Bayesian methods	Hypothesis test
Jaar van ontstaan	2009	1947
Grondlegger	Rouder, Speckman, Sun, Morey & Iverson	H. B. Mann & D. R. Whitney
Type	Bayesian hypothesis test	Nonparametric two-group comparison
Oorspronkelijke bron	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.
Aliassen	bayesian two-sample t-test, bayes factor t-test, Bayesçi t-Testi	Mann-Whitney-Wilcoxon test, Wilcoxon rank-sum test, Mann-Whitney U Testi
Verwant	5	4
Samenvatting	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.