विधियों की तुलना करें

	बेयस फैक्टर टेस्ट	स्वतंत्र प्रतिदर्श t-परीक्षण
क्षेत्र	बायेसियन	सांख्यिकी
परिवार	Bayesian methods	Hypothesis test
उद्भव वर्ष	1961	1908
प्रवर्तक	Harold Jeffreys	Student (W. S. Gosset)
प्रकार	Bayesian hypothesis comparison	Parametric mean comparison
मौलिक स्रोत	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.
उपनाम	bayes factor, BF10, Bayesian hypothesis test, Bayes Faktörü — Hipotez Testi	student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
संबंधित	3	4
सारांश	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.