A statistical inference course based on p-values
arXiv:1606.02352 · doi:10.1080/00031305.2016.1208629
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.
16 pages, 2 figures