Online Program Home
  My Program

All Times EDT

Abstract Details

Activity Number: 358 - New Concepts and Activities for Teaching Statistics
Type: Contributed
Date/Time: Wednesday, August 5, 2020 : 10:00 AM to 2:00 PM
Sponsor: Section on Statistics and Data Science Education
Abstract #313880
Title: How Can We Teach About Power If We Can’t Say “p<0.05”?
Author(s): Robin Lock*
Companies: St. Lawrence University
Keywords: statistics education; p-value; power

The traditional approach to teaching about the power of a hypothesis test generally starts by defining a rejection region based on the distribution of a test statistics under some null hypothesis, then finding the probability of falling into that region under some alternative hypothesis. Typically, this approach requires setting a specific significance level (say 5%) in order to find the exact boundary of that rejection region, but this goes against current efforts to de-emphasize rigid “p< 0.05”-type rules for determining statistical significance. We propose an alternate way to measure something akin to power that does not depend on a specific significance level or rejection region, but still illustrates general statistical ideas that are traditionally associated with power (like the effect of increasing sample size or detecting a larger difference).

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

Back to the full JSM 2020 program