Stats: Data & Models, 5/e (Paperback)
Richard D. De Veaux , Paul F. Velleman , David E. Bock
- 出版商: Pearson FT Press
- 出版日期: 2021-01-01
- 定價: $1,360
- 售價: 9.8 折 $1,333
- 語言: 英文
- 頁數: 1024
- ISBN: 1292362219
- ISBN-13: 9781292362212
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相關主題
商品描述
●Random Matters, a new feature, encourages a gradual, cumulative understanding of randomness. Random Matters boxes in each chapter foster inferential thinking through a variety of methods, such as drawing histograms of sample means, introducing the thinking involved in permutation tests, and encouraging judgement about how likely the observed statistic seems when viewed against the simulated sampling distribution of the null hypothesis.
●Streamlined coverage of descriptive statistics helps students progress more quickly through the first part of the book. Random variables and probability distributions are now covered later in the text to allow for more time to be spent on the more critical statistical concepts, as per GAISE recommendations.
●Introduction of a third variable in calculations, with the discussion of contingency tables and mosaic plots, in Chapter 3 gives students early experience with multivariable thinking
作者簡介
Richard De Veaux- Williams College
Paul Velleman- Cornell University (Emeritus)
David E. Bock - Cornell University, Ithaca High School (Retired)
目錄大綱
Part 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
Part II: Exploring Relationships Between Variables
6. Scatterplots, Association, and Correlation
7. Linear Regression
8. Regression Wisdom
9. Multiple Regression
Part III: Gathering Data
10. Sample Surveys
11. Experiments and Observational Studies
Part IV: Randomness and Probability
12. From Randomness to Probability
13. Probability Rules!
14. Random Variables
15. Probability Models
Part 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
Part VI: Inference for Relationships
20. Comparing Groups
21. Paired Samples and Blocks
22. Comparing Counts
23. Inferences for Regression
Part VII: Inference When Variables Are Related
24. Multiple Regression Wisdom
25. Analysis of Variance
26. Multifactor Analysis of Variance
27. Introduction to Statistical Learning and Data Science
