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Bayesian Mann-Whitney U test/Evidence
Method evidence record

Bayesian Mann-Whitney U test

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.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Bayesian Mann-Whitney U Test
Taxonomic method record · hypothesis-test / statistics
  • 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. · DOI 10.1080/02664763.2019.1709053
  • Mann, H. B., & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. The Annals of Mathematical Statistics, 18(1), 50–60. · DOI 10.1214/aoms/1177730491
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Related methods

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Taxonomic bucketBayesian Independent Samples t-testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Wilcoxon signed-rank testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketIndependent samples t-testmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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