Stats: Data and Models, Global Edition + MyLab Statistics with Pearson eText, 5th edition

Published by Pearson (June 20, 2021) © 2021

  • David E. Bock Ithaca High School (Retired) , Cornell University
  • Paul F. Velleman Cornell University
  • Richard D. De Veaux Williams College
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Title overview

For courses in Introductory Statistics

This pack contains 1 copy of Stats: Data and Models, Global Edition and 1 printed access card to MyLab Statistics

Encourages statistical thinking using technology, innovative methods, and a sense of humour. Inspired by the 2016 GAISE Report revision, Stats: Data and Models, 5th Edition by De Veaux, Velleman, and Bock uses innovative strategies to help students think critically about data, while maintaining the book's core concepts, coverage, and most importantly, readability.

The authors make it easier for instructors to teach and for students to understand more complicated statistical concepts later in the course (such as the Central Limit Theorem). In addition, students get more exposure to large data sets and multivariate thinking, which better prepares them to be critical consumers of statistics in the 21st century.

Samples

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Table of contents

  • Part I: Exploring and Understanding Data
  • 1. Stats Starts Here
  • 2. Displaying and Describing Data
  • 3. Relationships Between Categorical Variables-Contingency Tables
  • 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
  • 8. Regression Wisdom
  • 9. Multiple Regression
  • Part III: Gathering Data
  • 10. Sample Surveys
  • 11. Experiments and Observational Studies
  • Part IV: Randomness and Probability
  • 12. From Randomness to Probability
  • 13. Probability Rules!
  • 14. Random Variables
  • 15. Probability Models
  • Part V: Inference for One Parameter
  • 16. Sampling Distribution Models and Confidence Intervals for Proportions
  • 17. Confidence Intervals for Means
  • 18. Testing Hypotheses
  • 19. More About Tests and Intervals
  • Part VI: Inference for Relationships
  • 20. Comparing Groups
  • 21. Paired Samples and Blocks
  • 22. Comparing Counts
  • 23. Inferences for Regression
  • Part VII: Inference When Variables Are Related 24. Multiple Regression Wisdom
  • 25. Analysis of Variance
  • 26. Multifactor Analysis of Variance
  • 27. Introduction to Statistical Learning and Data Science

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