Stats: Modeling the World, 5th edition

Published by Pearson (February 7, 2018) © 2019

  • David E. Bock Ithaca High School (Retired) , Cornell University
  • Paul F. Velleman Cornell University
  • Richard D. De Veaux Williams College
  • Floyd Bullard North Carolina School of Science and Mathematics
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  • Loose-leaf, 3-hole-punched pages
  • Free shipping
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  • Interactive digital learning experience
  • Help when and where you need it
  • Instant feedback on assignments
  • Apps and study tools

Stats: Modeling the World gets you thinking statistically from the start, showing you how to analyze data and then work through real-world problems and exercises. This signature Think, Show, and Tell problem-solving method along with relevant examples and data help you learn to approach a question, solve the problem and communicate meaning.

In the 5th Edition, new co-author Floyd Bullard introduces a greater emphasis on simulations as a powerful pedagogical tool. Accompanying applets give you the opportunity to explore important ideas, providing greater conceptual depth that will prepare you to apply statistical knowledge in this course and beyond.

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
  • 27. Analysis of Variance* (online)
  • 28. Multiple Regression* (online)

Appendices

A. Selected Formulas

B. Guide to Statistical Software

C. Answers

D. Photo and Text Acknowledgments

E. Index

F. Tables

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