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STAT2 with Premium Access Card 1st Edition by Ann Cannon, George Cobb, Bradley Hartlaub, Julie Legler, Robin Lock, Thomas Moore, Allan Rossman, Jeffrey Witmer 1464148260 978-1464148262

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STAT2 with Premium Access Card 1st Edition by Ann Cannon, George Cobb, Bradley Hartlaub, Julie Legler, Robin Lock, Thomas Moore, Allan Rossman, Jeffrey Witmer – Ebook PDF Instant Download/Delivery: 1464148260, 978-1464148262

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ISBN 10: 1464148260

ISBN 13: 978-1464148262

Author: Ann R. Cannon, George W. Cobb, Bradley A. Hartlaub, Julie M. Legler, Robin H. Lock, Thomas L. Moore, Allan J. Rossman, Jeffrey A. Witmer

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.

Table of contents:

Unit A: Linear Regression
Ch 1: Simple Linear Regression
Ch 2: Inference for Simple Linear Regression
Ch 3: Multiple Regression
Ch 4: Additional Topics in Regression

Unit B: Analysis of Variance
Ch 5: One-Way ANOVA
Ch 6: Multifactor ANOVA
Ch 7: Additional Topics in Analysis of Variance
Ch 8: Overview of Experimental Design

Unit C: Logistic Regression
Ch 9: Logistic Regression
Ch 10: Multiple Logistic Regression
Ch 11: Additional Topics in Logistic Regression

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Tags: Ann Cannon, George Cobb, Bradley Hartlaub, Premium