STAT2

Modeling with Regression and ANOVA

Second Edition

Publication Date: September 05, 2019

E-book ISBN: 9781319350413

STAT2 introduces students to statistical modeling beyond what they have learned in a Stat 101 college course or an AP Statistics course. Building on basic concepts and methods learned in that course, STAT2 empowers students to analyze richer datasets that include more...

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ISBN: 9781319350413
STAT2

£55.99
£33.60

About this Book

Cover Page

Title Page

Copyright Page

Brief Contents

Contents

To the Teacher

Media and Supplements

Acknowledgments

To the Student

Dedication

Chapter 0: What Is a Statistical Model?
0.1 Model Basics
0.2 A Four-Step Process
Chapter Summary
Exercises

Unit A: Linear Regression

Chapter 1: Simple Linear Regression
1.1 The Simple Linear Regression Model
1.2 Conditions for a Simple Linear Model
1.3 Assessing Conditions
1.4 Transformations/Reexpressions
1.5 Outliers and Influential Points
Chapter Summary
Exercises

Chapter 2: Inference for Simple Linear Regression
2.1 Inference for Regression Slope
2.2 Partitioning Variability—ANOVA
2.3 Regression and Correlation
2.4 Intervals for Predictions
2.5 Case Study: Butterfly Wing
sChapter Summary
Exercises

Chapter 3: Multiple Regression
3.1 Multiple Linear Regression Model
3.2 Assessing a Multiple Regression Model
3.3 Comparing Two Regression Lines
3.4 New Predictors from Old
3.5 Correlated Predictors
3.6 Testing Subsets of Predictors
3.7 Case Study: Predicting in Retail Clothing
Chapter Summary
Exercises

Chapter 4: Additional Topics in Regression
Topic 4.1 Added Variable Plots
Topic 4.2 Techniques for Choosing Predictors
Topic 4.3 Cross-validation
Topic 4.4 Identifying Unusual Points in Regression
Topic 4.5 Coding Categorical Predictors
Topic 4.6 Randomization Test for a Relationship
Topic 4.7 Bootstrap for RegressionExercises

Unit B: Analysis of Variance

Chapter 5: One-way ANOVA and Randomized Experiments
5.1 Overview of ANOVA
5.2 The One-way Randomized Experiment and Its Observational Sibling
5.3 Fitting the Model
5.4 Formal Inference: Assessing and Using the Model
5.5 How Big Is the Effect?: Confidence Intervals and Effect Sizes
5.6 Using Plots to Help Choose a Scale for the Response
5.7 Multiple Comparisons and Fisher’s Least Significant Difference
5.8 Case Study: Words with Friends
Chapter Summary
Exercises

Chapter 6: Blocking and Two-way ANOVA
6.1 Choose: RCB Design and Its Observational Relatives
6.2 Exploring Data from Block Designs
6.3 Fitting the Model for a Block Design
6.4 Assessing the Model for a Block Design
6.5 Using the Model for a Block Design
Chapter Summary
Exercises

Chapter 7: ANOVA with Interaction and Factorial Designs
7.1 Interaction
7.2 Design: The Two-way Factorial Experiment
7.3 Exploring Two-way Data
7.4 Fitting a Two-way Balanced ANOVA Model
7.5 Assessing Fit: Do We Need a Transformation?
7.6 Using a Two-way ANOVA Model
Chapter Summary
Exercises

Chapter 8: Additional Topics in Analysis of Variance
Topic 8.1 Levene’s Test for Homogeneity of Variances
Topic 8.2 Multiple Tests
Topic 8.3 Comparisons and Contrasts
Topic 8.4 Nonparametric Statistics
Topic 8.5 Randomization F-Test
Topic 8.6 Repeated Measures Designs and Datasets
Topic 8.7 ANOVA and Regression with Indicators
Topic 8.8 Analysis of CovarianceExercises
Chapter 8: Online Sections: More on Repeated Measures
Topic 8.9 Repeated Measures: Mixed Designs
Topic 8.10 Repeated Measures: Advanced Material
Topic 8.11 Randomization Testing for Repeated Measures
Exercises

Unit C: Logistic Regression

Chapter 9: Logistic Regression
9.1 Choosing a Logistic Regression Model
9.2 Logistic Regression and Odds Ratios

Instructor Resources

Instructor Resources

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Test Bank for STAT2

Ann Cannon; George W. Cobb; Bradley A. Hartlaub; Julie M. Legler; Robin H. Lock; Thomas L. Moore; Allan J. Rossman; Jeffrey A. Witmer | Second Edition | ©2019 | ISBN:9781319209513

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