Stats: Data and Models, Canadian Edition, 4th edition

Published by Pearson Canada (January 14, 2021) © 2022

  • Richard D. De Veaux Williams College
  • Paul F. Velleman Cornell University (Emetrius)
  • David E. Bock Ithaca High School (Retired) , Cornell University
  • Augustin M. Vukov University of Toronto
  • Augustine Wong York University

Loose-Leaf

ISBN-13: 9780135732991
Stats: Data and Models, Canadian Edition
Published 2021

Details

  • Print edition
  • Access to MyLab®/Mastering®/Revel® not included

Title overview

Unparalleled in its readability and ease of comprehension, Stats: Data and Models, Fourth Edition, focuses on statistical thinking and data analysis. Written in an approachable style without sacrificing rigor, this text incorporates compelling examples derived from the authors' wealth of teaching experience and encourages students to learn how to reason with data. Stats: Data and Models promotes conceptual understanding for applied statistics without overwhelming the reader with tedious calculations and complex mathematics. This Fourth Canadian Edition has been meticulously updated to include the most relevant and engaging Canadian examples and data.

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Table of contents

  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
  6. Scatterplots, Association, and Correlation
  7. Linear Regression
  8. Regression Wisdom
  9. Sample Surveys
  10. Experiments and Observational Studies
  11. From Randomness to Probability
  12. Probability Rules!
  13. Random Variables
  14. Sampling Distribution Models
  15. Confidence Intervals for Proportions
  16. Testing Hypotheses About Proportions
  17. More About Tests
  18. Inferences About Means
  19. Comparing Means
  20. Paired Samples and Blocks
  21. Comparing Two Proportions
  22. Comparing Counts
  23. Inferences for Regression
  24. Analysis of Variance
  25. Multifactor Analysis of Variance
  26. Multiple Regression
  27. Multiple Regression Wisdom
  28. Nonparametric Tests
  29. The Bootstrap (online only)
  30. Introduction to Statistical Learning and Data Science (online only)

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