This paper is from Session 6B: Probability and p-values — probing the problems

which comes under Topic 6: Innovation and reform in teaching probability within statistics

Impact of a simulation/randomization-based curriculum on student understanding of p-values and confidence intervals

Presenter

• Beth Chance (California Polytechnic State University, United States)

Co-author

• Karen McGaughey (Cal Poly - San Luis Obispo, United States)

Abstract

This paper describes how changes in course sequencing and pedagogy have impacted students’ understanding of p-values and confidence intervals in introductory algebra-based and calculus-based tertiary-level courses. Using assessment data (for example CAOS, common exam questions, and a transfer problem) across several institutions in various stages of implementation, this paper focuses on how the use of simulation and randomization-based inference has developed, what have been found to be the main student gains, and potential cautions with the approach.