Stats : data and models
著者
書誌事項
Stats : data and models
Pearson, Addison-Wesley, c2008
2nd ed
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注記
Includes index
内容説明・目次
内容説明
Lauded by students and instructors alike for its readability and ease of comprehension, Stats: Data and Models, Second Edition, focuses on statistical thinking and data analysis. The text incorporates compelling examples derived from the authors' wealth of consulting experience and encourages students to learn how to reason with data. The book is organized into short chapters that focus on one topic at a time and offer instructors maximum flexibility in planning courses.
Written in an approachable style without sacrificing rigor, this newly revised text is appropriate for a one- or two-semester course. Features include Math Boxes, which present the mathematical underpinnings of the statistical methods and concepts, and advanced topics, such as Analysis of Variance (ANOVA), Multiple Regression, and Nonparametrics.
Datasets and other resources (where applicable) for this book are available here.
目次
I. Exploring and Understanding Data 1. Stats Starts Here
2. Data
3. Displaying and Describing Categorical Data
4. Displaying and Summarizing Quantitative Data
5. Understanding and Comparing Distributions
6. The Standard Deviation as a Ruler and the Normal Model
II. Exploring Relationships between Variables
7. Scatterplots, Association, and Correlation
8. Linear Regression
9. Regression Wisdom
10. Re-expressing Data: Get It Straight!
III. Gathering Data
11. Understanding Randomness
12. Sample Surveys
13. Experiments and Observational Studies
IV. Randomness and Probability
14. From Randomness to Probability
15. Probability Rules!
16. Random Variables
17. Probability Models
V. From The Data at Hand to the World at Large
18. Sampling Distribution Models
19. Confidence Intervals for Proportions
20. Testing Hypotheses About Proportions
21. More About Tests
22. Comparing Two Proportions
VI. Learning About the World
23. Inferences About Means
24. Comparing Means
25. Paired Samples and Blocks
26. Comparing Counts
VII. Modeling the World
27. Inferences for Regression
28. Analysis of Variance
29. Multifactor Analysis of Variance
30. Multiple Regression
31. Multiple Regression Wisdom
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