Stats: Data and Models, Global Edition, 5th edition

Published by Pearson (January 22, 2021) © 2021

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

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Access details

  • Instant access once purchased
  • Fulfilled by VitalSource
  • For titles accompanied by MyLab/Mastering, this eBook does NOT include access to the platform

Features

  • Add notes and highlights
  • Search by keyword or page
Products list

Access details

  • Instant access once purchased
  • Fulfilled by VitalSource
  • For titles accompanied by MyLab/Mastering, this eBook does NOT include access to the platform

Features

  • Add notes and highlights
  • Search by keyword or page

Title overview

For courses in Introductory 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. The 5th Edition’s approach to teaching Stats: Data and Models is revolutionary, yet it retains the book's lively tone and hallmark pedagogical features such as its Think/Show/Tell Step-by-Step Examples.

Table of contents

I: EXPLORING AND UNDERSTANDING DATA

  1. 1. Stats Starts Here
  2. 2. Displaying and Describing Data
  3. 3. Relationships Between Categorical Variables–Contingency Tables
  4. 4. Understanding and Comparing Distributions
  5. 5. The Standard Deviation as a Ruler and the Normal Model

II. EXPLORING RELATIONSHIPS BETWEEN VARIABLES

  1. 6. Scatterplots, Association, and Correlation
  2. 7. Linear Regression
  3. 8. Regression Wisdom
  4. 9. Multiple Regression

III. GATHERING DATA

  1. 10. Sample Surveys
  2. 11. Experiments and Observational Studies

IV. RANDOMNESS AND PROBABILITY

  1. 12. From Randomness to Probability
  2. 13.Probability Rules!
  3. 14. Random Variables
  4. 15. Probability Models

V. INFERENCE FOR ONE PARAMETER

  1. 16. Sampling Distribution Models and Confidence Intervals for Proportions
  2. 17. Confidence Intervals for Means
  3. 18. Testing Hypotheses
  4. 19. More About Tests and Intervals

VI. INFERENCE FOR RELATIONSHIPS

  1. 20. Comparing Groups
  2. 21. Paired Samples and Blocks
  3. 22. Comparing Counts
  4. 23. Inferences for Regression

VII. INFERENCE WHEN VARIABLES ARE RELATED

  1. 24. Multiple Regression Wisdom
  2. 25. Analysis of Variance
  3. 26. Multifactor Analysis of Variance
  4. 27. Statistics and Data Science

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