Essential Statistics, Regression, and Econometrics, Third Edition will helps students in introductory statistics courses develop statistical reasoning and critical thinking skills. The book demonstrates the power, elegance, and beauty of statistical reasoning, providing hundreds of new and updated examples and discussing the uses and potential abuses of statistics. Examples are drawn from real, contemporary areas to showcase that statistical reasoning is not an irrelevant abstraction, but instead an important part of everyday life. This updated resource highlights recent, exciting discoveries and provides a thorough foundation for students, instructors, and researchers alike, all of which are approaching the field from different backgrounds.
Innovative in its extended emphasis on statistical reasoning, real data, pitfalls in statistical analysis, the perils of p-hacking and data mining, and modeling issues, including functional forms and causality, the book includes extensive word problems that emphasize intuition, understanding, and practical applications.
1. Introduction - p. ix 2. Chapter 1. Data, Data, Data - p. 1 3. Chapter 2. Displaying Data - p. 27 4. Chapter 3. Descriptive Statistics - p. 79 5. Chapter 4. Probability - p. 107 6. Chapter 5. Sampling - p. 145 7. Chapter 6. Estimation - p. 169 8. Chapter 7. Hypothesis Testing - p. 195 9. Chapter 8. The Replication Crisis - p. 217 10. Chapter 9. Simple Regression - p. 243 11. Chapter 10. The Art of Regression Analysis - p. 285 12. CHAPTER 11. Multiple Regression - p. 327 13. Chapter 12. Modeling (Optional) - p. 367 14. Appendix - p. 401 15. Index - p. 405
Essential Statistics, Regression, and Econometrics, Third Edition will helps students in introductory statistics courses develop statistical reasoning and critical thinking skills. The book demonstrates the power, elegance, and beauty of statistical reasoning, providing hundreds of new and updated examples and discussing the uses and potential abuses of statistics. Examples are drawn from real, contemporary areas to showcase that statistical reasoning is not an irrelevant abstraction, but instead an important part of everyday life. This updated resource highlights recent, exciting discoveries and provides a thorough foundation for students, instructors, and researchers alike, all of which are approaching the field from different backgrounds.
Innovative in its extended emphasis on statistical reasoning, real data, pitfalls in statistical analysis, the perils of p-hacking and data mining, and modeling issues, including functional forms and causality, the book includes extensive word problems that emphasize intuition, understanding, and practical applications.
1. Introduction - p. ix 2. Chapter 1. Data, Data, Data - p. 1 3. Chapter 2. Displaying Data - p. 27 4. Chapter 3. Descriptive Statistics - p. 79 5. Chapter 4. Probability - p. 107 6. Chapter 5. Sampling - p. 145 7. Chapter 6. Estimation - p. 169 8. Chapter 7. Hypothesis Testing - p. 195 9. Chapter 8. The Replication Crisis - p. 217 10. Chapter 9. Simple Regression - p. 243 11. Chapter 10. The Art of Regression Analysis - p. 285 12. CHAPTER 11. Multiple Regression - p. 327 13. Chapter 12. Modeling (Optional) - p. 367 14. Appendix - p. 401 15. Index - p. 405
