手法を比較

	ベイズt検定	独立標本t検定
分野	ベイズ	統計学
系統	Bayesian methods	Hypothesis test
提唱年	2009	1908
提唱者	Rouder, Speckman, Sun, Morey & Iverson	Student (W. S. Gosset)
種類	Bayesian hypothesis test	Parametric mean comparison
原典	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.	Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25.
別名	bayesian two-sample t-test, bayes factor t-test, Bayesçi t-Testi	student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
関連	5	4
概要	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 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.