विधियों की तुलना करें

	बेयसियन टी-टेस्ट	मैन-व्हिटनी U परीक्षण
क्षेत्र	बायेसियन	सांख्यिकी
परिवार	Bayesian methods	Hypothesis test
उद्भव वर्ष	2009	1947
प्रवर्तक	Rouder, Speckman, Sun, Morey & Iverson	H. B. Mann & D. R. Whitney
प्रकार	Bayesian hypothesis test	Nonparametric two-group comparison
मौलिक स्रोत	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.
उपनाम	bayesian two-sample t-test, bayes factor t-test, Bayesçi t-Testi	Mann-Whitney-Wilcoxon test, Wilcoxon rank-sum test, Mann-Whitney U Testi
संबंधित	5	4
सारांश	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.