Stats

Stats: Data and Models, Third Edition, will intrigue and challenge students by encouraging them to think statistically and by emphasizing how statistics helps us understand the world. Praised by students and instructors alike for its readability and ease of comprehension, this text focuses on statistical thinking and data analysis. The authors draw from their wealth of consulting experience to craft compelling examples, which encourages students to learn how to reason with data. This book is organized into short chapters that concentrate on one topic at a time, offering instructors maximum flexibility in planning their courses. The text is appropriate for a one-or-two semester introductory statistics course and includes advanced topics, such as Analysis of Variance (ANOVA), Multiple Regression, and Nonparametrics.I. Exploring and Understanding Data 1. Stats Starts Here 2. Data 3. Displaying and Describing Categorical Data 4. Displaying and Summarizing Quantitative Data 5. Understanding and Comparing Distributions 6. The Standard Deviation as a Ruler and the Normal Model Review of Part I: Exploring and Understanding Data II. Exploring Relationships between Variables 7. Scatterplots, Association, and Correlation 8. Linear Regression 9. Regression Wisdom 10. Re-expressing Data: Get It Straight! Review of Part II: Exploring Relationships Between Variables III. Gathering Data 11. Understanding Randomness 12. Sample Surveys 13. Experiments and Observational Studies Review of Part III: Gathering Data IV. Randomness and Probability 14. From Randomness to Probability 15. Probability Rules! 16. Random Variables 17. Probability Models Review of Part IV: Randomness and Probability V. From the Data at Hand to the World At Large 18. Sampling Distribution Models 19. Confidence Intervals for Proportions 20. Testing Hypotheses about Proportions 21. More About Tests and Intervals 22. Comparing Two Proportions Review of Part V: From the Data at Hand to the World at Large VI. Learning about the World 23. Inferences about Means 24. Comparing Means 25. Paired Samples and Blocks Review of Part VI: Learning About the World VII. Inference When Variables are Related 26. Comparing Counts 27. Inferences for Regression 28. Analysis of Variance 29. Multifactor Analysis of Variance 30. Multiple Regression 31. Multiple Regression Wisdom Review of Part VII: Inference When Variables Are Related APPENDIXES A. Selected Formulas B. Answers C. Photo Acknowledgements D. Index E. Tables