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حوزهبیزیآمار
خانوادهBayesian methodsHypothesis test
سال پیدایش20091908
پدیدآورRouder, Speckman, Sun, Morey & IversonStudent (W. S. Gosset)
نوعBayesian hypothesis testParametric mean comparison
منبع بنیادینRouder, 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. DOI ↗Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗
نام‌های دیگرbayesian two-sample t-test, bayes factor t-test, Bayesçi t-Testistudent t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
مرتبط54
خلاصهThe 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.
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ScholarGateمقایسهٔ روش‌ها: Bayesian t-Test · Independent t-test. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare