STAT2: Building Models for a World of Data

Cannon, Ann R.; Cobb, George W.; Hartlaub, Bradley A.

ISBN 10: 1464148260 / ISBN 13: 9781464148262

Published by Freeman, New York, 2013

About this Item

Includes unopened website passcode at back of book. Text clean; binding tight; minor wear to covers. 624 pages. Illustrated. Size: 8" x 10".

Seller Inventory # S70-049017

Bibliographic Details

• Title: STAT2: Building Models for a World of Data
• Publisher: Freeman, New York
• Publication Date: 2013
• Language: English
• ISBN 10: 1464148260
• ISBN 13: 9781464148262
• Binding: Hardcover
• Condition: Good
• Dust Jacket Condition: Issued without a dust jacket

About this title

Synopsis

The Book Companion Site for STAT2 was replaced by LaunchPad! Access to the same resources is now available at http://www.macmillanlearning.com/launchpad/stat2.

STAT2 offers students who have taken AP Statistics or a typical introductory statistics college level course to learn more sophisticated concepts and the tools with which to apply them.

 

The authors' primary goal is to help students gain facility in the use of common statistical models.  The text instructs students on working with models where the response variable is either quantitative or categorical and predictors (or explanatory factors) are quantitative or categorical (or both).  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:
1. Choose the appropriate statistical model for a particular problem.
2. Know the conditions that are typically required when fitting various models.
3. Assess whether or not the conditions for a particular model are reasonably met for a specific dataset. 4. Have some strategies for dealing with data when the conditions for a standard model are not met.
5. Use the appropriate model to make appropriate inferences.

About the Author

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.