Stats: Modeling the World, 6th edition

Published by Pearson (July 22, 2022) © 2023

  • Richard D. De Veaux Williams College
  • Paul F. Velleman Cornell University (Emetrius)
  • David E. Bock Ithaca High School (Retired) , Cornell University
  • Floyd Bullard Duke University
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Platform features

  • Pearson+ eTextbook with study tools
  • Tailored feedback on assignments
  • Interactive course-specific content
  • Real-time analytics and insights
Products list

Platform features

  • Pearson+ eTextbook with study tools
  • Tailored feedback on assignments
  • Interactive course-specific content
  • Real-time analytics and insights
Products list

Platform features

  • Pearson+ eTextbook with study tools
  • Tailored feedback on assignments
  • Interactive course-specific content
  • Real-time analytics and insights
Products list

Platform features

  • Pearson+ eTextbook with study tools
  • Tailored feedback on assignments
  • Interactive course-specific content
  • Real-time analytics and insights

Title overview

Stats: Modeling the World will get you thinking statistically from the start. It leads with practical data analysis and graphics to help you think in a statistical context. Updated, relevant examples and data plus the authors' signature "Think, Show, and Tell" problem-solving method teach you to approach a question, solve the problem and communicate meaning. The 6th Edition updates and adds examples, exercises and data throughout, with access to the data where possible. Many examples and exercises are based on recent news stories, articles, and other sources, with many listed so you can explore them further.

Table of contents

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 
  • Review of Part I: Exploring and Understanding Data

II. EXPLORING RELATIONSHIPS BETWEEN VARIABLES

  • 6. Scatterplots, Association, and Correlation 
  • 7. Linear Regression 
  • 8. Regression Wisdom 
  • 9. Re-expressing Data: Get It Straight! 
  • Review of Part II: Exploring Relationships Between Variables

III. GATHERING DATA

  • 10. Understanding Randomness 
  • 11. Sample Surveys 
  • 12. Experiments and Observational Studies 
  • Review of Part III: Gathering Data

IV. RANDOMNESS AND PROBABILITY

  • 13. From Randomness to Probability 
  • 14. Probability Rules! 
  • 15. Random Variables 
  • 16. Probability Models 
  • Review of Part IV: Randomness and Probability

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. More About Tests and Intervals 
  • 21. Comparing Two Proportions 
  • Review of Part V: From the Data at Hand to the World at Large

VI. LEARNING ABOUT THE WORLD

  • 22. Inferences About Means 
  • 23. Comparing Means 
  • 24. Paired Samples and Blocks 
  • Review of Part VI: Learning About the World

VII. INFERENCE WHEN VARIABLES ARE RELATED

  • 25. Comparing Counts 
  • 26. Inferences for Regression 
  • Review of Part VII: Inference When Variables Are Related 

Appendixes

  • A. Selected Formulas
  • B. Guide to Statistical Software 
  • C. Answers
  • D. Photo and Text Acknowledgments 
  • E. Index 
  • F. Tables 

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