Teaching the Statistical Investigation Process with Simulation-Based Inference

Presented by:

Nathan Tintle, Dordt College and Beth Chance, Cal Poly - San Luis Obispo


The goals of this workshop are to help faculty participants to revise their introductory statistics course to:
  • use simulation-based methods, including randomization tests, to introduce concepts of statistical inference, and
  • emphasize the over-arching process of conducting statistical investigations throughout the course
This workshop will provide experience with activities designed to lead students to discover basic concepts of statistical significance and interval estimation. These activities make use of freely available applets to analyze real data from genuine research studies. Presenters will also offer implementation suggestions and strategies for assessing student learning with this approach. Information about the project on which this workshop is based can be found at www.math.hope.edu/isi/ and www.causeweb.org/sbi/.


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Teaching with Simulation-Based Inference