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Bayesian inference is a method of statistical inference that relies on treating the model parameters as random variables and applying Bayes' theorem to deduce subjective probability statements about the parameters or hypotheses, conditional on the observed dataset.

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Interpretation of BayesFactor BF01 for two sample t-test correct?

Both the procedure for calculating BF and its interpretation are correct. Regarding the floor effect, it is necessary to assess how strong the asymmetry is and how large each sample size is. The t-tes …
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