A Statistical Inference Course Based on p-Values

A Statistical Inference Course Based on p-Values

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...

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Veröffentlicht in:The American statistician 2017-05, Vol.71 (2), p.128-136
1. Verfasser: Martin, Ryan
Format: Artikel
Sprache:eng
Schlagworte:
Confidence interval
Hypothesis testing
Large-sample theory
Monte Carlo
Regression analysis
Statistical inference
Statistical methods
Statistics
TEACHER'S CORNER
Teaching statistics
Valid inference
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Beschreibung
Zusammenfassung: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.
ISSN:0003-1305
1537-2731
DOI:10.1080/00031305.2016.1208629