Vertaile menetelmiä

	Bayes-kerrointestaus	Riippumattomien otosten t-testi
Tieteenala	Bayesilainen tilastotiede	Tilastotiede
Menetelmäperhe	Bayesian methods	Hypothesis test
Syntyvuosi	1961	1908
Kehittäjä	Harold Jeffreys	Student (W. S. Gosset)
Tyyppi	Bayesian hypothesis comparison	Parametric mean comparison
Alkuperäislähde	Jeffreys, H. (1961). Theory of Probability (3rd ed.). Clarendon Press / Oxford University Press. ISBN: 978-0198503682	Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25.
Rinnakkaisnimet	bayes factor, BF10, Bayesian hypothesis test, Bayes Faktörü — Hipotez Testi	student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
Liittyvät	3	4
Tiivistelmä	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.	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.