Abstract:
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In Spring, 2002, I introduced a new course at Connecticut College called Advanced Statistical Methods. In covering multiple regression, logistic regression, analysis of variance for multifactor studies, and repeated measures, I opened the course to both non-math students with a previous introductory statistics course and math students with no previous statistics background. To appeal to both audiences and to motivate and illustrate topics, I used a case study approach as in The Statistical Sleuth by Ramsey and Schaefer, and the class analyzed real data sets (at least) weekly in our computer lab. I believe that interesting, real data holds the key to teaching and motivating both audiences in my course. In this talk, I will describe the data sets I thought were successful (and some that were not so successful) as tools for learning. In addition, I will describe data sets that students from across different disciplines brought to the table for group projects at the end of the course. Finally, I will offer objective and subjective feedback related to the challenge of teaching these topics, especially to such a diverse audience.
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