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Edition: 3RD 04

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.

**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

New: Basics of x-bar control charts and a section on control charts

11. Probability in Detail (optional)

New: Tree diagrams

12. Binomial Distributions (optional)

Includes a new "Using Technology" figure

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

New: Chi-square test of fit

21. Two Quantitative Variables: Regression

22. Categorical Explanatory, Quantitative Response: ANOVA

**PART V: COMPLIMENTARY CHAPTERS**

23. Noparametric tests

24. Statistics for quality: control and capability

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.

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

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

New: Basics of x-bar control charts and a section on control charts

11. Probability in Detail (optional)

New: Tree diagrams

12. Binomial Distributions (optional)

Includes a new "Using Technology" figure

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

New: Chi-square test of fit

21. Two Quantitative Variables: Regression

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.

**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

New: Basics of x-bar control charts and a section on control charts

11. Probability in Detail (optional)

New: Tree diagrams

12. Binomial Distributions (optional)

Includes a new "Using Technology" figure

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

New: Chi-square test of fit

21. Two Quantitative Variables: Regression

22. Categorical Explanatory, Quantitative Response: ANOVA

**PART V: COMPLIMENTARY CHAPTERS**

23. Noparametric tests

24. Statistics for quality: control and capability