Uporedite metode

	Bejzovski t-test	Test faktorom verovatnoće (Bayes Factor Test)
Oblast	Bajesovska statistika	Bajesovska statistika
Porodica	Bayesian methods	Bayesian methods
Godina nastanka	2009	1961
Tvorac	Rouder, Speckman, Sun, Morey & Iverson	Harold Jeffreys
Tip	Bayesian hypothesis test	Bayesian hypothesis comparison
Temeljni izvor	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.	Jeffreys, H. (1961). Theory of Probability (3rd ed.). Clarendon Press / Oxford University Press. ISBN: 978-0198503682
Drugi nazivi	bayesian two-sample t-test, bayes factor t-test, Bayesçi t-Testi	bayes factor, BF10, Bayesian hypothesis test, Bayes Faktörü — Hipotez Testi
Srodne	5	3
Sažetak	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 Bayes factor test, formalised by Harold Jeffreys in 1961, is a Bayesian method for comparing two competing hypotheses. Rather than returning a binary reject/retain verdict, it produces a continuous ratio BF₁₀ that quantifies how much more (or less) probable the data are under the alternative hypothesis H₁ than under the null hypothesis H₀.