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ISBN13: 978-0321286710

ISBN10: 0321286715

Edition: 2ND 06

Copyright: 2006

Publisher: Addison-Wesley Longman, Inc.

Published: 2006

International: No

ISBN10: 0321286715

Edition: 2ND 06

Copyright: 2006

Publisher: Addison-Wesley Longman, Inc.

Published: 2006

International: No

The short, teachable chapters and approachable, colloquial style of Intro Stats has made it the most successful first edition Statistics text. Professors across the country report that students actually read the book. Now a hallmark feature, Intro Stats teaches students how to think statistically, show proper application of techniques, and tell others what they have learned. What Can Go Wrong? sections in each chapter give students the tools to detect statistical errors and debunk misuses of statistics, whether intentional or not.

New To This Edition

- Each chapter includes one or two Just Checking sections, which allow students to check their understanding of the concepts as they read each chapter. These questions are designed to be a quick check and most involve very little calculation. The answers are the end of each chapter so students can easily check themselves.
- Exercise sets have been expanded and graded by difficulty.
- What Have We Learned? sections at the end of each chapter highlight new concepts, define the new terms introduced in the chapter and list the skills that the student should have acquired. If the students understand the concepts, know the terms and have the skills, they're probably ready for the exam.
- The streamlined and clarified text retains the full flavor and readability of the first edition.
- ActivStats Pointers highlight activities in ActivStats that parallel the discussions in the book.
- The Instructor's Edition contains answers to all exercises as well as a chapter-by-chapter Intructor's Resource Guide, which includes extra examples, teaching suggestions, and an overview of the chapter.

(* Indicates an optional chapter. Review Material appears at the end of each part.)

I. EXPLORING AND UNDERSTANDING DATA.

1. Stats Starts Here.

2. Data.

3. Displaying Categorical Data.

4. Displaying Quantitative Data.

5. Describing Distributions Numerically.

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: It's easier than you think.

III. GATHERING DATA.

11. Understanding Randomness.

12. Sample Surveys.

13. Experiments.

IV. RANDOMNESS AND PROBABILITY.

14. From Randomness to Probability (LLN).

15. Probability Rules!

16. *Random Variables.

17. *Probability Models (Binomial).

V. FROM THE DATA AT HAND TO THE WORLD AT LARGE.

18. Sampling Distribution Models (CLT).

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.

VII. INFERENCE WHEN VARIABLES ARE RELATED.

26. Comparing Counts (Chi Square).

27. Inferences for Regression.

28. Analysis of Variance (on CD).

29. Multiple Regression (on CD).

Richard D. De Veaux, Paul D. Velleman and David E. Bock

ISBN13: 978-0321286710ISBN10: 0321286715

Edition: 2ND 06

Copyright: 2006

Publisher: Addison-Wesley Longman, Inc.

Published: 2006

International: No

The short, teachable chapters and approachable, colloquial style of Intro Stats has made it the most successful first edition Statistics text. Professors across the country report that students actually read the book. Now a hallmark feature, Intro Stats teaches students how to think statistically, show proper application of techniques, and tell others what they have learned. What Can Go Wrong? sections in each chapter give students the tools to detect statistical errors and debunk misuses of statistics, whether intentional or not.

New To This Edition

- Each chapter includes one or two Just Checking sections, which allow students to check their understanding of the concepts as they read each chapter. These questions are designed to be a quick check and most involve very little calculation. The answers are the end of each chapter so students can easily check themselves.
- Exercise sets have been expanded and graded by difficulty.
- What Have We Learned? sections at the end of each chapter highlight new concepts, define the new terms introduced in the chapter and list the skills that the student should have acquired. If the students understand the concepts, know the terms and have the skills, they're probably ready for the exam.
- The streamlined and clarified text retains the full flavor and readability of the first edition.
- ActivStats Pointers highlight activities in ActivStats that parallel the discussions in the book.
- The Instructor's Edition contains answers to all exercises as well as a chapter-by-chapter Intructor's Resource Guide, which includes extra examples, teaching suggestions, and an overview of the chapter.

Table of Contents

I. EXPLORING AND UNDERSTANDING DATA.

1. Stats Starts Here.

2. Data.

3. Displaying Categorical Data.

4. Displaying Quantitative Data.

5. Describing Distributions Numerically.

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: It's easier than you think.

III. GATHERING DATA.

11. Understanding Randomness.

12. Sample Surveys.

13. Experiments.

IV. RANDOMNESS AND PROBABILITY.

14. From Randomness to Probability (LLN).

15. Probability Rules!

16. *Random Variables.

17. *Probability Models (Binomial).

V. FROM THE DATA AT HAND TO THE WORLD AT LARGE.

18. Sampling Distribution Models (CLT).

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.

VII. INFERENCE WHEN VARIABLES ARE RELATED.

26. Comparing Counts (Chi Square).

27. Inferences for Regression.

28. Analysis of Variance (on CD).

29. Multiple Regression (on CD).

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