Thomas Lumley 6/27/2013

When is Bayesian introductory statistics better?

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This article analyzes when Bayesian statistics might be preferable to frequentist methods in introductory statistics courses. It discusses areas of agreement, computational considerations, and key pedagogical differences, such as avoiding p-values and rank tests. It also addresses disadvantages, including reliance on simple parametric models and the challenge of explaining the importance of random sampling.

When is Bayesian introductory statistics better?

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