Math department seminar: Recent Work on p-value Alternatives: A Literature Review

Abstract: p-values have long been the standard metric used to determine whether or not data from an experiment is statistically significant. In recent years, p-values have faced increasing criticism, and many consider them to no longer be sufficient to evaluate data and a contributor to the ongoing Replication Crisis in science. This culminated in the American Statistical Association’s 2016 statement about proper use of p-values in statistical analysis. In this presentation, we examine the strengths and weaknesses of p-values and introduce some alternative methods of determining statistical significance. In particular, we discuss confidence intervals, Bayesian Statistics, likelihood ratios, d-values, and w-values. We also examine other non-metric based adjustments to current practice including flexible thresholds, pre-registered studies and random auditing. Finally, we discuss some implications for teaching statistics at the secondary and university level.

 
 
Please contact Dr. Johanna Franklin at johanna.n.franklin@hofstra.edu for the Zoom information.

Speaker: Salvatore Giunta (Babson College)
 
 

Wednesday, March 24, 2021

Categories:

Location:

Zoom
Zoom Link
Online, NY 00000


Contact:

Johanna Franklin

Phone: 516-463-5739

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english
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