Teaching Introductory Statistics: Implementing GAISE Recommendations
Monday, April 8 at 5:30 p.m.
ZSR Library 404 Auditorium
I will present the six recommendations for teaching introductory statistics endorsed by the American Statistical Association in its GAISE (Guidelines for Assessment and Instruction in Statistics Education) report (www.amstat.org/education/gaise/). For each recommendation I will offer several examples that illustrate how the recommendation could be imple-mented. Most of the examples are intended for a general introductory course, but some pertain to courses for mathematically inclined students. Along the way I will sneak in (well, actually, I will be quite overt about it) a pitch for my very succinct teaching philosophy: Ask good questions.
Introducing Students to Statistics with Simulation-Based Inference
Tuesday, April 9 at 11 a.m.
Carswell Hall 101
I will present, and ask participants to engage with, hands-on activities for introducing students to statistics with simula-tion-based inference. Examples will include inference for a population proportion, for comparing two groups, for corre-lation, and for symmetry. Simulations will be conducting with physical devices and also with freely available applets. Simulation-based approaches will be compared with normal-based and also exact techniques. I will also offer implemen-tation advice and highlight some common student miscon-ceptions.
Dr. Allan Rossman: Allan Rossman is Professor and Chair of Statistics at Cal Poly – San Luis Obispo. He has served as Chief Reader for the Advanced Placement program in Statistics and as Program Chair for the U.S. Conference on Teaching Sta-tistics. He is a Fellow of the American Statistical Associ-ation and a recipient of the MAA’s Haimo Award for Dis-tinguished Teaching and the ASA’s Waller Distinguished Teaching Career Award.