Methoden vergelijken

	Bayesfactor-toets	Onafhankelijke t-toets voor twee steekproeven
Vakgebied	Bayesiaanse statistiek	Statistiek
Familie	Bayesian methods	Hypothesis test
Jaar van ontstaan	1961	1908
Grondlegger	Harold Jeffreys	Student (W. S. Gosset)
Type	Bayesian hypothesis comparison	Parametric mean comparison
Oorspronkelijke bron	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.
Aliassen	bayes factor, BF10, Bayesian hypothesis test, Bayes Faktörü — Hipotez Testi	student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
Verwant	3	4
Samenvatting	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.