A statistical inference course based on p-values
Other Statistics
2017-07-14 v1 Methodology
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.
Cite
@article{arxiv.1606.02352,
title = {A statistical inference course based on p-values},
author = {Ryan Martin},
journal= {arXiv preprint arXiv:1606.02352},
year = {2017}
}
Comments
16 pages, 2 figures