Unparalleled in its readability and ease of comprehension, Stats: Data and Models, Third Canadian 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 Third Canadian Edition has been meticulously updated to include the most relevant and engaging Canadian examples and data.
Author(s): Richard D. De Veaux, Paul Velleman, David E. Bock
Edition: 3
Publisher: Pearson Canada
Year: 2019
Language: English
Commentary: I see no wrong with the book, however you may want to check further.
Cover
Title Page
Copyright Page
Meet the Authors
Contents
Preface
Supplements
Acknowledgments
Index of Application
Part I: Exploring and Understanding Data
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
Part I Review: Exploring and Understanding Data
Part II: Exploring Relationships Between Variables
6. Scatterplots, Association, and Correlation
7. Linear Regression
8. Regression Wisdom
Part II Review: Exploring Relationships Between Variables
Part III: Gathering Data
9. Sample Surveys
10. Experiments and Observational Studies
Part III Review: Gathering Data
Part IV: Randomness and Probability
11. From Randomness to Probability
12. Probability Rules!
13. Random Variables
Part IV Review: Randomness and Probability
Part V: From the Data at Hand to the World at Large
14. Sampling Distribution Models
15. Confidence Intervals for Proportions
16. Testing Hypotheses About Proportions
17. More About Tests
18. Inferences About Means
Part V Review: From the Data at Hand to the World at Large
Part VI: Assessing Associations Between Variables
19. Comparing Means
20. Paired Samples and Blocks
21. Comparing Two Proportions
22. Comparing Counts
23. Inferences for Regression
Part VI Review: Assessing Associations Between Variables
Part VII: Modelling the World at Large
24. Analysis of Variance
25. Multifactor Analysis of Variance
26. Multiple Regression
27. Multiple Regression Wisdom
Part VII Review: Modelling the World at Large
Part VIII: Distribution-free Methods
28. Nonparametric Tests
29. The Bootstrap
Appendix A: Answers
Appendix B: Index
Appendix C: Tables
Back Cover
