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Index
Cover Frontmatter 1. Introduction and Motivation 2. Data and Statistics 3. Statistics Concepts 4. Graphs 5. Introductory Inference 6. One-Way Analysis of Variance 7. Multiple Comparisons 8. Linear Regression by Least Squares 9. Multiple Regression—More Than One Predictor 10. Multiple Regression—Dummy Variables, Contrasts, and Analysis of Covariance 11. Multiple Regression—Regression Diagnostics 12. Two-Way Analysis of Variance 13. Design of Experiments—Factorial Designs 14. Design of Experiments—Complex Designs 15. Bivariate Statistics—Discrete Data 16. Nonparametrics 17. Logistic Regression 18. Time Series Analysis Backmatter
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