Linganisha mbinu

	Kipimo cha Bayesian cha sampuli moja cha t	Upimaji wa t-wa Sampuli Moja
Nyanja	Takwimu	Takwimu
Familia	Hypothesis test	Hypothesis test
Mwaka wa asili	2009	1908
Mwanzilishi	Rouder, Speckman, Sun, Morey & Iverson	Student (W. S. Gosset)
Aina	Bayesian mean-vs-constant comparison	Parametric mean comparison
Chanzo asilia	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.	Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25.
Majina mbadala	Bayesian single-sample t-test, Bayes factor one-sample t-test, JZS one-sample Bayes factor, Bayesian location test	single-sample t-test, one-group t-test, one-sample t, Student one-sample t-test
Zinazohusiana	2	3
Muhtasari	The Bayesian one-sample t-test compares a single group's mean against a fixed reference value using a Bayes factor rather than a p-value. It quantifies the evidence the data provide for the null hypothesis (mean equals the reference) versus the alternative, and yields a full posterior distribution over the effect size — enabling statements about practical magnitude, not just a binary reject-or-retain decision.	The one-sample t-test is a parametric hypothesis test that determines whether the mean of a single sample differs significantly from a known or hypothesized population value. Derived from Student's (Gosset's) 1908 t-distribution, it assumes continuous, approximately normally distributed data and is one of the most fundamental tests in applied statistics.