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Edition: 3RD 04

Copyright: 2004

Publisher: W.H. Freeman

Published: 2004

International: No

Copyright: 2004

Publisher: W.H. Freeman

Published: 2004

International: No

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You can make statistics meaningful and memorable by moving away from the stale plug-and-chug of formulas and computation and engaging students with real data, critical thinking, and judicious use of technology. That is the data analysis approach pioneered by David Moore, an approach that reinvigorated the statistics classroom. With his texts, students go beyond crunching numbers to gain a lasting understanding of how powerful a tool statistics can be.

In the #1 bestselling brief text, *The Basic Practice of Statistics* (BPS), Moore brings the data analysis approach to the one-term course, with an accessible, fun style that helps students with limited mathematical backgrounds utilize the same tools, techniques, and interpretive skills working statisticians rely on everyday.

**Moore, David S. : Purdue University**

**PART I: EXPLORING DATA **

Exploring Data: Variables and Distributions

1. Picturing Distributions with Graphs

* New student-friendly data here (cost of college, favorite new car colors) and throughout; more ecological and environmental examples *

2. Describing Distributions with Numbers

3. Normal Distributions

Exploring Data: Relationships

4. Scatterplots and Correlation

5. Regression

* Reduced attention to residuals (valuable mainly in multiple regression) simplifies material; clearer treatment of outliers and influence--the corresponding applet is especially helpful for this topic; more attention to association versus causation*

6. Two-Way Tables

Exploring Data Review Chapter

* Unified outline list of skills helps students see the part content (data analysis) as a whole; straightforward Review Exercises and more challenging Supplementary Exercises*

**PART II: FROM EXPLORATION TO INFERENCE **

Producing Data

7. Producing Data: Sampling

* Briefer treatment of complex samples simplifies material; new discussion of the census undercount *

8. Producing Data: Experiments

Probability and Sampling Distributions

9. Introducing Probability

* Interactive applet helps students grasp the ideas; new brief discussion of probability*

10. Sampling Distributions

11. Probability in Detail (optional)

12. Binomial Distributions (optional)

Introducing Inference

13. Confidence Intervals: The Basics

14. Tests of Significance: The Basics

* Shorter, clearer exposition in these key chapters*

15. Inference in Practice

* Unified discussion of real-world challenges*

Exploration to Inference Review Chapter

**PART III: INFERENCE ABOUT VARIABLES **

Quantitative Response Variable

16. Inference About One Mean

17. Comparing Two Means

Categorical Response Variable

18. Inference About One Proportion

* Optional: more accurate intervals through simple new methods*

19. Comparing Two Proportions

* Optional: more accurate intervals through simple new methods*

Inference About Variables Review Chapter

**PART IV: INFERENCE ABOUT RELATIONSHIPS **

** **20. Two Categorical Variables: Chi-Square

22. Categorical Explanatory, Quantitative Response: ANOVA

**PART V: COMPLIMENTARY CHAPTERS **

23. Noparametric tests

24. Statistics for quality: control and capability

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Summary

You can make statistics meaningful and memorable by moving away from the stale plug-and-chug of formulas and computation and engaging students with real data, critical thinking, and judicious use of technology. That is the data analysis approach pioneered by David Moore, an approach that reinvigorated the statistics classroom. With his texts, students go beyond crunching numbers to gain a lasting understanding of how powerful a tool statistics can be.

In the #1 bestselling brief text, *The Basic Practice of Statistics* (BPS), Moore brings the data analysis approach to the one-term course, with an accessible, fun style that helps students with limited mathematical backgrounds utilize the same tools, techniques, and interpretive skills working statisticians rely on everyday.

Author Bio

**Moore, David S. : Purdue University**

Table of Contents

**PART I: EXPLORING DATA **

Exploring Data: Variables and Distributions

1. Picturing Distributions with Graphs

* New student-friendly data here (cost of college, favorite new car colors) and throughout; more ecological and environmental examples *

2. Describing Distributions with Numbers

3. Normal Distributions

Exploring Data: Relationships

4. Scatterplots and Correlation

5. Regression

* Reduced attention to residuals (valuable mainly in multiple regression) simplifies material; clearer treatment of outliers and influence--the corresponding applet is especially helpful for this topic; more attention to association versus causation*

6. Two-Way Tables

Exploring Data Review Chapter

straightforward Review Exercises and more challenging Supplementary Exercises

**PART II: FROM EXPLORATION TO INFERENCE **

Producing Data

7. Producing Data: Sampling

* Briefer treatment of complex samples simplifies material; new discussion of the census undercount *

8. Producing Data: Experiments

Probability and Sampling Distributions

9. Introducing Probability

* Interactive applet helps students grasp the ideas; new brief discussion of probability*

10. Sampling Distributions

11. Probability in Detail (optional)

12. Binomial Distributions (optional)

Introducing Inference

13. Confidence Intervals: The Basics

14. Tests of Significance: The Basics

* Shorter, clearer exposition in these key chapters*

15. Inference in Practice

* Unified discussion of real-world challenges*

Exploration to Inference Review Chapter

**PART III: INFERENCE ABOUT VARIABLES **

Quantitative Response Variable

16. Inference About One Mean

17. Comparing Two Means

Categorical Response Variable

18. Inference About One Proportion

* Optional: more accurate intervals through simple new methods*

19. Comparing Two Proportions

* Optional: more accurate intervals through simple new methods*

Inference About Variables Review Chapter

**PART IV: INFERENCE ABOUT RELATIONSHIPS **

** **20. Two Categorical Variables: Chi-Square

22. Categorical Explanatory, Quantitative Response: ANOVA

**PART V: COMPLIMENTARY CHAPTERS **

23. Noparametric tests

24. Statistics for quality: control and capability

Publisher Info

Publisher: W.H. Freeman

Published: 2004

International: No

Published: 2004

International: No

In the #1 bestselling brief text, *The Basic Practice of Statistics* (BPS), Moore brings the data analysis approach to the one-term course, with an accessible, fun style that helps students with limited mathematical backgrounds utilize the same tools, techniques, and interpretive skills working statisticians rely on everyday.

**Moore, David S. : Purdue University**

**PART I: EXPLORING DATA **

Exploring Data: Variables and Distributions

1. Picturing Distributions with Graphs

* New student-friendly data here (cost of college, favorite new car colors) and throughout; more ecological and environmental examples *

2. Describing Distributions with Numbers

3. Normal Distributions

Exploring Data: Relationships

4. Scatterplots and Correlation

5. Regression

* Reduced attention to residuals (valuable mainly in multiple regression) simplifies material; clearer treatment of outliers and influence--the corresponding applet is especially helpful for this topic; more attention to association versus causation*

6. Two-Way Tables

Exploring Data Review Chapter

straightforward Review Exercises and more challenging Supplementary Exercises

**PART II: FROM EXPLORATION TO INFERENCE **

Producing Data

7. Producing Data: Sampling

* Briefer treatment of complex samples simplifies material; new discussion of the census undercount *

8. Producing Data: Experiments

Probability and Sampling Distributions

9. Introducing Probability

* Interactive applet helps students grasp the ideas; new brief discussion of probability*

10. Sampling Distributions

11. Probability in Detail (optional)

12. Binomial Distributions (optional)

Introducing Inference

13. Confidence Intervals: The Basics

14. Tests of Significance: The Basics

* Shorter, clearer exposition in these key chapters*

15. Inference in Practice

* Unified discussion of real-world challenges*

Exploration to Inference Review Chapter

**PART III: INFERENCE ABOUT VARIABLES **

Quantitative Response Variable

16. Inference About One Mean

17. Comparing Two Means

Categorical Response Variable

18. Inference About One Proportion

* Optional: more accurate intervals through simple new methods*

19. Comparing Two Proportions

* Optional: more accurate intervals through simple new methods*

Inference About Variables Review Chapter

**PART IV: INFERENCE ABOUT RELATIONSHIPS **

** **20. Two Categorical Variables: Chi-Square

22. Categorical Explanatory, Quantitative Response: ANOVA

**PART V: COMPLIMENTARY CHAPTERS **

23. Noparametric tests

24. Statistics for quality: control and capability