This hands-on mini-course will present a data analysis course that complements and builds on majors' math aptitudes, reinforcing an understanding of linear algebra while providing advanced applied statistical skills. In the course, statistical methodology is built up in an accessible way from first principles, without requiring previous course work in statistics. Modeling, computation (using R), and simulation are used extensively.
Registration for this mini-course is available through the JMM registration site.
About the Presenters
Danny Kaplan is DeWitt Wallace Professor at Macalester College where he teaches applied statistics, mathematics, and computer science. He is the author of several textbooks, including the upcoming Introduction to Statistical Modeling. (See www.macalester.edu/~kaplan/ISM.) He won Macalester's annual Excellence in Teaching award in 2006.
Victor Addona is assistant professor in the Department of Mathematics and Computer Science at Macalester College. He completed his PhD in statistics in 2005 at McGill University in Montreal, Canada. Vittorio's research interests are in survival analysis, other medical applications of statistics, and sports statistics. He has also recently become interested in statistically based post-election audit models. Vittorio teaches courses across the statistics curriculum, including the Introduction to Statistical Modeling course presented in this workshop. He helped establish a new major in Applied Mathematics and Statistics at Macalester College.