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Activity Number: 129
Type: Contributed
Date/Time: Monday, August 1, 2016 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Education
Abstract #319167
Title: Effect Size Really Does Matter
Author(s): Jeffrey Witmer*
Companies: Oberlin College
Keywords: effect size ; p-value ; statistics education

The world is awash in p-values. Most introductory statistics courses spend a lot of time helping students understand how to find a p-value, and a good deal of time on thinking about what a p-value means (and doesn't mean). But we almost always know that the null hypothesis is false; what matters in practice is the size of the effect. Effect sizes are just as important as p-values but receive little attention. That should change.

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

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