STAT2 offers students who have taken AP Statistics or a typical introductory statistics college level course to the opportunity to learn more sophisticated concepts and the tools with which to apply them. The book helps students gain facility in the use of common statistical models.. The chapters are grouped to consider models based on the type of response and type of predictors.
After completing a course with STAT2 students should be able to choose the appropriate statistical model for a particular problem, know the conditions that are typically required when fitting various models, and use the appropriate model to make appropriate inferences. This textbook is also available on LaunchPad, an innovative online resource designed to engage students and help instructors.
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Ann R. Cannon has been a faculty member at Cornell College since 1993. She is currently Professor of Statistics in the Department of Mathematics and Statistics.
George Cobb is Robert l. Rooke Professor emeritus at Mount Holyoke College, where he taught from 1974 to 2009 after earning his PhD in statistics from Harvard University.
Brad Hartlaub joined the faculty of Kenyon College, Minnesota in 1990. He is a nonparametric statistician, and his research deals with rank-based tests for detecting interaction.
Julie Legler is Professor of Statistics and Director of the Statistics Program at St. Olaf College in Minnesota.
Robin H. Lock is the Jack and Sylvia Burry Professor of Statistics at St. Lawrence University where he has taught since 1983 after receiving his PhD from the University of Massachusetts- Amherst.
Thomas Moore is a Fellow of American Statistical Association and was the2008 Mu Sigma Rho Statistical Education Award winner.
Allan J. Rossman is Professor of Statistics at Cal Poly – San Luis Obispo and previously taught in the Department of Mathematics and Computer Science at Dickinson College, Pennsylvania.
Jeff Witmer is Professor of Mathematics at Oberlin College, Ohio and is a Fellow of the American Statistical Association.
STAT2 is designed to help students build on their statistical knowledge in order to analyze rich datasets using statistical models. The book develops a systematic approach to using different models and includes exercises to allow students to practice working with real data alongside output from statistical software. A free access code to a premium website for students comes with every new copy of the book.
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