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Activity Number: 654 - Teaching Introductory Statistics Using Simulation-Based Inference Methods
Type: Topic Contributed
Date/Time: Thursday, August 3, 2017 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Education
Abstract #323914
Title: Integrating Randomization Methods in the Introductory Statistics Course
Author(s): Paul Velleman*
Companies: Cornell University
Keywords: Introductory statistics ; randomization ; bootstrap

Some statistics educators have suggested that replacing frequentist statistics with randomization methods in the introductory statistics course would reduce learning hurdles and enhance understanding. In past decades, we've seen similar enthusiasm for expanding the role of nonparametrics, of a Bayesian approach, and of multimedia in the introductory course. Each of these innovations was championed by fans when it first appeared. And as these ideas matured, they became useful additions to our quiver of teaching tools. But they have not replaced the core introductory statistics course. The 2016 revision of the GAISE College Report suggests a wider use of randomization methods, but doesn't abandon the traditional curriculum. The question is how to accomplish this integration.

Randomization methods should enhance rather than replace traditional approaches. I will discuss a syllabus that integrates randomization concepts progressively throughout the course in support of a course that satisfies the 2016 GAISE guidelines.

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

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