Part I: Exploring and Understanding Data 1. Stats Starts Here 2. Displaying and Describing Categorical Data 3. Displaying and Summarizing Quantitative Data   4. Understanding and Comparing Distributions 5. The Standard Deviation as a Ruler and the Normal Model Part II: Exploring Relationships Between Variables 6. Scatterplots, Association, and Correlation   7. Linear Regression 9. Re-expressing Data: Get It Straight! Part III: Gathering Data 10. Understanding Randomness 11. Sample Surveys 12. Experiments and Observational Studies Part IV: Randomness and Probability 13. From Randomness to Probability 14. Probability Rules! 15. Random Variables 16. Probability Models Part V: From the Data at Hand to the World at Large 17. Sampling Distribution Models 18. Confidence Intervals for Proportions 19. Testing Hypotheses About Proportions 20. Inferences About Means 21. More About Tests and Intervals Part VI: Accessing Associations Between Variables 22. Comparing Groups 23. Paired Samples and Blocks 24. Comparing Counts 25. Inferences for Regression Part VII: Inference When Variables Are Related 26. Analysis of Variance 27. Multifactor Analysis of Variance 28. Multiple Regression 29. Multiple Regression Wisdom Appendixes A: Answers B: Photo Acknowledgments C: Index D: Tables and Selected Formulas

This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States.   Data Analysis and Problem Solving NEW! Exercise sets have been expanded with hundreds of new exercises and now feature an improved arrangement. They progress in difficulty from basic questions to complex, multi-step exercises that ask the student to synthesize and incorporate the ideas they’ve learned from previous chapters. Answers are provided for odd-numbered exercises. Emphasis on data analysis encourages the use of technology to analyze data, so students focus on asking the right questions, critically analyzing results, and drawing appropriate conclusions. Instructions are provided for major statistical packages. The Think, Show, Tell approach to problem solving teaches students how to think statistically, show proper application of techniques, and tell others what they have learned. These step-by-step examples guide students through the problem with both a general explanation alongside the worked-out solution. NEW! Think/Show/Tell examples have been updated with new applications and data. These examples have been reworked so that each example begins with a clear question, and ends with a conclusion that answers the stated question. Math Boxes provide proofs, derivations, and formulas so that students can refer to the underlying mathematics for enhanced understanding. The authors consistently discuss the Assumptions and Conditions necessary to perform a particular test, make a certain calculation, or arrive at an interpretation or conclusion in the worked examples and exercises. NEW! Current data ensures that this book remains relevant to students and their interests. Most of the data used in examples and exercises are real and have been updated for the new edition. Data come from author experience, news stories and recent research articles. Whenever possible, the data are on the DVD so students can explore them further. Real-Life Problems and Solutions Where Are We Going? chapter openers begin each chapter with a real-life example. This feature demonstrates how the material fits in with what students already learned and prepares them for upcoming statistical concepts. What Can Go Wrong? discussions in each chapter address common misuses and misunderstandings of statistics to arm students with the tools to detect statistical errors and debunk misuses of statistics. What Have We Learned? summaries highlight concepts, terms, and skills that the student has learned in the chapter. Just Checking questions in each chapter ask students to pause and think about what they’ve read to ensure that they understand the material presented thus far. Answers are at the end of the chapter. NEW! For Example illustrative examples embedded throughout the chapter show how to apply concepts and methods discussed in the text. With about four new examples per chapter, there are more than 100 new examples in this edition. Pointers, Notes, and Lectures from the Authors ActivStats Pointers throughout the text indicate where ActivStats activities complement and enhance the discussions presented in the book. Marginal Notation Alerts are included throughout the text to explain how to properly use the related statistical notation. NEW! Instructor Podcasts from the authors focus on the key points of each chapter, helping both new and experienced instructors prepare for class. These are available for download from MyStatLab. NEW! Video Lectures were scripted and presented by the authors themselves,

Exercise sets have been expanded with hundreds of new exercises and now feature an improved arrangement. They progress in difficulty from basic questions to complex, multi-step exercises that ask the student to synthesize and incorporate the ideas they’ve learned from previous chapters. Answers are provided for odd-numbered exercises. Think/Show/Tell examples have been updated with new applications and data. These examples have been reworked so that each example begins with a clear question, and ends with a conclusion that answers the stated question. Current data ensures that this book remains relevant to students and their interests. Most of the data used in examples and exercises are real and have been updated for the new edition. Data come from author experience, news stories and recent research articles. For Example illustrative examples embedded throughout the chapter show how to apply concepts and methods discussed in the text. With about four new examples per chapter, there are more than 100 new examples in this edition. Instructor Podcasts from the authors focus on the key points of each chapter, helping both new and experienced instructors prepare for class. These are available for download from MyStatLab. Video Lectures were scripted and presented by the authors themselves, helping students review the important points in each chapter. Different video presenters also work through examples from the text.   MyStatLab not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.