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Bayesian t-Test

The 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.

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Bayesian t-Test for Two-Group Comparison

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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. · DOI 10.3758/PBR.16.2.225

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Same method familyBayes Factor Testmachine-suggested · Relational suggestion, not evidence.Same method familyBayesian ANOVAmachine-suggested · Relational suggestion, not evidence.Same method familyBayesian Regressionmachine-suggested · Relational suggestion, not evidence.See alsoIndependent t-testmachine-suggested · Relational suggestion, not evidence.See alsoMann-Whitney U testmachine-suggested · Relational suggestion, not evidence.