(eBook PDF) Stats Data and Models 2nd Canadian Edition – Digital Ebook – Instant Delivery Download

Product details:

• ISBN-10 ‏ : ‎ 0321828429
• ISBN-13 ‏ : ‎ 978-0321828422
• Author: Richard D. De Veaux, Paul F. Velleman, David E. Bock, Augustin M. Vukov

Unparalleled in its readability and ease of comprehension, Stats: Data and Models, Second 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 Second Canadian Edition has been meticulously updated to include the most relevant and engaging Canadian examples and data.

Table of contents:

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 II: Exploring Relationships Between Variables

6. Scatterplots, Association, and Correlation

7. Linear Regression

8. Regression Wisdom

9. Re-expressing Data: Get It Straight!

Part III: Gathering Data

10. Understanding Randomness

11. Sample Surveys

12. Experiments and Observational Studies

Part IV: Randomness and Probability

13. From Randomness to Probability

14. Probability Rules!

15. Random Variables

16. Probability Models

Part V: From the Data at Hand to the World at Large

17. Sampling Distribution Models

18. Confidence Intervals for Proportions

19. Testing Hypotheses About Proportions

20. Inferences About Means

21. More About Tests and Intervals

Part VI: Accessing Associations Between Variables

22. Comparing Groups

23. Paired Samples and Blocks

24. Comparing Counts

25. Inferences for Regression

Part VII: Inference When Variables Are Related

26. Analysis of Variance

27. Multifactor Analysis of Variance

28. Multiple Regression

29. Multiple Regression Wisdom

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