Salīdzināt metodes

	Bajesieša Mena-Vitnija U tests	Neatkarīgo paraugu t-tests
Nozare	Statistika	Statistika
Saime	Hypothesis test	Hypothesis test
Izcelsmes gads	2020 (Bayesian formulation); 1947 (classical test)	1908
Autors	van Doorn, Ly, Marsman, Wagenmakers (building on Mann & Whitney 1947)	Student (W. S. Gosset)
Tips	Bayesian nonparametric two-sample test	Parametric mean comparison
Pirmavots	van Doorn, J., Ly, A., Marsman, M., & Wagenmakers, E.-J. (2020). Bayesian rank-based hypothesis testing for the rank sum test, the signed rank test, and Spearman's rho. Journal of Applied Statistics, 47(16), 2984–3006.	Student (W. S. Gosset) (1908). The probable error of a mean. Biometrika, 6(1), 1–25.
Citi nosaukumi	Bayesian rank-sum test, Bayesian Wilcoxon rank-sum test, Bayesian nonparametric two-sample test	two-sample t-test, unpaired t-test, Student t-test, independent groups t-test
Saistītās	3	4
Kopsavilkums	The Bayesian Mann-Whitney U test is a nonparametric Bayesian procedure for comparing two independent groups when data are ordinal or non-normal continuous. Instead of a binary reject/fail-to-reject decision, it quantifies the relative evidence for the null and alternative hypotheses through a Bayes factor, allowing researchers to conclude in favour of either hypothesis or express uncertainty.	The independent samples t-test is a parametric hypothesis test that determines whether the means of two independent, unrelated groups differ significantly on a continuous outcome variable. Derived from Gosset's 1908 t-distribution, it is one of the most widely used inferential tests in social, behavioral, biomedical, and experimental sciences.