Stats Data And Models Canadian 2nd Edition De-Veaux Solutions Manual
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Stats Data And Models Canadian 2nd Edition De-Veaux Solutions Manual.
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Product details:
- ISBN-10 : 0321828429
- ISBN-13 : 978-0321828422
- Author: & 1 more
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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