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Stats: Data and Models, Global Edition, 4th Edition

By Richard De Veaux, Paul Velleman, David E. Bock
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Richard De Veaux, Paul Velleman, and David Bock wrote Stats: Data and Models with the goal that students and instructors have as much fun reading it as they did writing it. Maintaining a conversational, humorous, and informal writing style, this new edition engages students from the first page. The authors focus on statistical thinking throughout the text and rely on technology for calculations. As a result, students can focus on developing their conceptual understanding. Innovative Think/Show/Tell examples give students a problem-solving framework and, more importantly, a way to think through any statistics problem and present their results.

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Pearson Higher Ed USA
Table of contents
  • 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
Features & benefits

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 synthesise 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 analyse data, so students focus on asking the right questions, critically analysing 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.


Student supplements