Stats: Data and Models 3/e (絕)
- 20本以上，享 8.5折
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- 一般書籍
- ISBN：9780321753724
- 作者：Richard D. De Veaux, Paul Velleman, David E. Bock
- 版次：3
- 年份：2011
- 出版商：Pearson Education
書籍介紹
本書特色
目錄
Description
Stats: Data and Models, Third Edition, will intrigue and challenge students by encouraging them to think statistically and by emphasizing how statistics helps us understand the world. Praised by students and instructors alike for its readability and ease of comprehension, this text focuses on statistical thinking and data analysis. The authors draw from their wealth of consulting experience to craft compelling examples, which encourage students to learn how to reason with data. This book is organized into short chapters that concentrate on one topic at a time, offering instructors maximum flexibility in planning their courses.
Stats: Data and Models, Third Edition, will intrigue and challenge students by encouraging them to think statistically and by emphasizing how statistics helps us understand the world. Praised by students and instructors alike for its readability and ease of comprehension, this text focuses on statistical thinking and data analysis. The authors draw from their wealth of consulting experience to craft compelling examples, which encourage students to learn how to reason with data. This book is organized into short chapters that concentrate on one topic at a time, offering instructors maximum flexibility in planning their courses.
New to This Edition
- For Example illustrative examples embedded throughout the chapter show how to apply concepts and methods discussed in the text. With about four new examples per chapter, there are more than 100 new examples in this edition.
- Think/Show/Tell examples have been updated with new applications and data. These examples have been reworked so that each example begins with a clear question, and ends with a conclusion that answers the stated question.
- Instructor Podcasts from the authors focus on the key points of each chapter, helping both new and experienced instructors prepare for class. These are available for download from MyStatLab.
- Video Lectures were scripted and presented by the authors themselves, helping students review the important points in each chapter. Different video presenters also work through examples from the text.
- Current data ensures that this book remains relevant to students and their interests. Most of the data used in examples and exercises are real and have been updated for the new edition. Data come from author experience, news stories and recent research articles. Whenever possible, the data are on the DVD so students can explore them further.
- Exercise sets have been expanded with hundreds of new exercises and now feature an improved arrangement. They progress in difficulty from basic questions to complex, multi-step exercises that ask the student to synthesize and incorporate the ideas they’ve learned from previous chapters. Answers are provided for odd-numbered exercises.
Table of Contents
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 and Intervals
22. Comparing Two Proportions
VI. Learning about the World
23. Inferences about Means
24. Comparing Means
25. Paired Samples and Blocks
VII. Inference When Variables are Related
26. Comparing Counts
27. Inferences for Regression
28. Analysis of Variance
29. Multifactor Analysis of Variance
30. Multiple Regression
31. Multiple Regression Wisdom
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 and Intervals
22. Comparing Two Proportions
VI. Learning about the World
23. Inferences about Means
24. Comparing Means
25. Paired Samples and Blocks
VII. Inference When Variables are Related
26. Comparing Counts
27. Inferences for Regression
28. Analysis of Variance
29. Multifactor Analysis of Variance
30. Multiple Regression
31. Multiple Regression Wisdom
