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. Samples Download the detailed table of contents > Preview sample pages from Stats: Data and Models, Global Edition >

Full Product Details

Author:   Richard De Veaux ,  Paul Velleman ,  David Bock
Publisher:   Pearson Education Limited
Imprint:   Pearson Education Limited
Edition:   5th edition
Dimensions:   Width: 22.00cm , Height: 3.00cm , Length: 27.40cm
Weight:   1.981kg
ISBN:  

9781292362212

ISBN 10:   1292362219
Pages:   1024
Publication Date:   28 April 2021
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order  
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Table of Contents

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

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