Published by Pearson (January 22, 2021) © 2021
Richard De Veaux | Paul Velleman | David BockProduct Information
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.
The full text downloaded to your computer
With eBooks you can:
- search for key concepts, words and phrases
- make highlights and notes as you study
- share your notes with friends
eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps.
Upon purchase, you'll gain instant access to this eBook.
Time limit
The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
Samples
Download the detailed table of contents
Preview sample pages from Stats: Data and Models, Global Edition
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
II. EXPLORING RELATIONSHIPS BETWEEN VARIABLES
- 6. Scatterplots, Association, and Correlation
- 7. Linear Regression
- 8. Regression Wisdom
- 9. Multiple Regression
III. GATHERING DATA
- 10. Sample Surveys
- 11. Experiments and Observational Studies
IV. RANDOMNESS AND PROBABILITY
- 12. From Randomness to Probability
- 13.Probability Rules!
- 14. Random Variables
- 15. Probability Models
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
VI. INFERENCE FOR RELATIONSHIPS
- 20. Comparing Groups
- 21. Paired Samples and Blocks
- 22. Comparing Counts
- 23. Inferences for Regression
VII. INFERENCE WHEN VARIABLES ARE RELATED
- 24. Multiple Regression Wisdom
- 25. Analysis of Variance
- 26. Multifactor Analysis of Variance
- 27. Statistics and Data Science