A Statistical Inference Course Based on -Values

Ryan Martin

The American Statistician, 2017, vol. 71, issue 2, 128-136

Abstract: Introductory statistical inference texts and courses treat the point estimation, hypothesis testing, and interval estimation problems separately, with primary emphasis on large-sample approximations. Here, I present an alternative approach to teaching this course, built around p-values, emphasizing provably valid inference for all sample sizes. Details about computation and marginalization are also provided, with several illustrative examples, along with a course outline. Supplementary materials for this article are available online.

Date: 2017
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DOI: 10.1080/00031305.2016.1208629

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