"Teaching the Statistical Investigation Process with Randomization-based Inference"
Nathan Tintle, Dordt College; and Beth Chance, Cal Poly San Luis Obispo
This two-hour workshop is intended for faculty members who have experience with or soon will be teaching introductory statistics. The goals of this workshop are to help participants to think about revising their introductory statistics course in two ways:
Using simulation and randomization-based methods, as opposed to methods based on the normal distribution, as the primary vehicle for learning concepts of statistical inference, and
Emphasizing the overarching process of conducting statistical investigations, from formulating a question and collecting data through exploring data and drawing inferences to communicating results, throughout the course.
The workshop will provide exposure to activities designed to introduce students to fundamental concepts of inference using randomization-based methods. The learning activities involve using freely available applets to explore concepts and analyze real data from genuine research studies. The presenters will also offer implementation suggestions during these activity-based sessions and discussion sessions based on the experiences of the Introduction to Statistical Investigations curriculum development project (authors: Nathan Tintle, Beth Chance, George Cobb, Allan Rossman, Soma Roy, Todd Swanson, and Jill VanderStoep). More information about the project on which this workshop is based can be found at: www.math.hope.edu/isi.
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