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Contributed Papers

New Approaches to Teaching Probability and Inference Concepts

Thu, Aug 7, 8:30 AM - 10:20 AM Room CC-103A Music City Center

Tyler GeorgeChair

Section on Statistics and Data Science Education

5 Presentations

A Framework for Reproducible Practice Problems

8:35 AM - 8:50 AM

Co-authors: Michael Karcher (Muhlenberg College), Michael Karcher (Muhlenberg College)

Teaching tools Pedagogy Typesetting software Reproducible research

A SCORE Module for Inference Review based on NFL Scores and Point Spreads

8:50 AM - 9:05 AM

Co-authors: Robin Lock (St. Lawrence University), Robin Lock (St. Lawrence University)

inference review sports data football

Unraveling the Mystery of Equality in the Null Hypothesis: How Using Inequality Enhances Conceptual Understanding of Hypothesis Testing for our Introductory Students

9:05 AM - 9:20 AM

Co-authors: Mortaza Jamshidian (California State University-Fullerton), Parsa Jamshidian, Mortaza Jamshidian (California State University-Fullerton)

Teaching hypothesis testing mean and proportion inference introductory statistics Type I error significance level,class activity

Frequentist vs. Bayesian? – Comparing Two Trinomial Proportions in Small Sample Cases

9:20 AM - 9:35 AM

Co-authors: Jing Zhang (Miami University), Douglas Noe (The Cincinnati Insurance Company), Jing Zhang (Miami University), A. John Bailer (Miami University), Robert Noble (Bill & Melinda Gates Medical Research Institute)

Bayesian inference classical inference p-values extremity sample space ordering

Modernizing How Interval Estimation is Taught in Undergraduate Statistics Courses

9:35 AM - 9:50 AM

Co-authors: Peter Freeman (CMU), Peter Freeman (CMU)

confidence intervals mathematical statistics statistical inference instructional design undergraduate statistics curriculum statistical practice

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