A Statistical Inference Course Based on p-Values. Issue 2 (3rd April 2017)

• Record Type: Journal Article
• Authors: Martin, Ryan
• Is Part Of: American statistician. Volume 71:Issue 2(2017)
• Page Start: 128
• Page End: 136
• Publication Date: 2017-04-03
• Subjects: Confidence interval -- Large-sample theory -- Monte Carlo -- Teaching statistics -- Valid inference; Statistics -- Periodicals; 001.42205
• DOI: 10.1080/00031305.2016.1208629
• Languages: English
• ISSNs: 0003-1305

Abstract

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.