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Activity Number: 270
Type: Contributed
Date/Time: Monday, August 1, 2016 : 3:05 PM to 3:50 PM
Sponsor: Section on Statistical Education
Abstract #321580
Title: Examples of How a P-Value Interpretation Depends on the Underlying Statistical Philosophy
Author(s): Andrew Neath*
Companies: Southern Illinois University
Keywords: error probabilities ; likelihood inference ; Bayesian inference ; model selection

Arguments and criticisms against the p-value are numerous, yet the use of the p-value in statistical inference has not slowed appreciably. Ideally, a statistical testing problem would be summarized through a measure of belief and/or a measure of evidence. Typically, a p-value does not provide such an interpretation. However, there are many situations in which the p-value does provide an insightful measure. In this talk, we look at some competing statistical philosophies to arrive at different motivations for the use of a p-value.

Authors who are presenting talks have a * after their name.

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