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by Dan Yates

Cover type: HardbackEdition: 2ND 03

Copyright: 2003

Publisher: W.H. Freeman

Published: 2003

International: No

List price: $186.75

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Only one textbook gives students a competitive edge for the AP statistics exam by following the College Board guidelines exclusively.

Only one textbook combines the strength of the data analysis approach and the power of technology with supreme classroom finesse.

Only one textbook provides the support you and your students need to achieve maximum performance.

The Practice of Statistics - your AP Statistics textbook.

And now, the overwhelming favorite for the AP Statistics course is available in an even more powerful new edition, building on the qualities that made it an immediate bestseller with a number of new features, integration of the TI-89, and an even stronger set of print and media ancillaries.

Feature:

- Essential AP content, including with strong treatment non-linear regression, probability as a tool of statistical inference, and additional coverage of geometric distributions and goodness of fit.
- Clear, concise explanations of statistical techniques and principles.
- Interesting examples and exercises, illustrating how statistics is used in a variety of fields.
- Activities that promote statistical thinking at the beginning of each chapter.
- Simulations which lay the groundwork for discovering underlying concepts, helping students to easily understand the material.
- TI-83 graphing calculator integrated throughout, with step-by-step keyboarding instructions and many sample screen outputs are provided.

New to This Edition:

- New Co-author - Daren Starnes, longtime AP Statistics teacher, exam reader, and technology guru.
- TI-89 graphing calculator integration.Now, since a significant number of high schools are using TI-89's, The Practice of Statistics, Second Edition integrates both calculators equally with side-by-side screen shots and keystrokes.
- New Features in Every Chapter:
- ''Technology Toolbox'' shows students how to use the statistical capabilities of the TI-83 and TI-89 graphing calculators, and provides tips for interpreting standard computer output.
- ''Inference Toolbox'' walks students through inference problems in short bites, adding more structure to complicated inference procedures. These begin appearing in chapter 10 where inference is first discussed.
- Increase number of examples and exercises, with more real data and source references.
- Highlighted application titles (in color at the beginning of each exercise) emphasize the variety and abundance of real-life applications.
- Historical Vignettes, at the beginning of each chapter, provide interesting contexts for the material that follows.

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

Starnes, Daren S. : The Webb Schools

Yates, Dan :

Preface

Statistical Thinking

**PART I. ORGANIZING DATA: LOOKING FOR PATTERNS AND DEPARTURES FROM PATTERNS 1. Exploring Data**

1.1 Displaying Distributions with Graphs

1.2 Describing Distributions with Numbers

New coverage of ogives and linear transformations

New subsection on comparing distributions

Many new examples and exercises using contemporary, real data

Technology Toolbox feature introduced

** 2. The Normal Distributions**

2.1 Density Curves and the Normal Distribution

2.2 Standard Normal Calculations

Revised subsection on normal probability plot

Several technology toolboxes

New exercises

** 3. Examining Relationships**

3.1 Scatterplots

New examples and exercises

Several technology toolboxes

3.2 Correlation

3.3 Least-Squares Regression

Revised sequence of discussion of r2

Computer output for least squares regression is introduced

New exercises

** 4. More on Two-Variable Data**

4.1 Modeling Non-linear Relationships

Revised and expanded discussion of transforming relationships

New exercises

4.2 Interpreting Correlation and Regression

4.3 Relations in Categorical Data

**PART II. PRODUCING DATA: SAMPLES AND EXPERIMENTS 5. Producing Data**

5.1 Designing Samples

5.2 Designing Experiments

5.3 Simulating Experiments

New examples of simulations

New exercises

**PART III PROBABILITY: FOUNDATIONS OF INFERENCE 6. Probability: The Study of Randomness**

6.1 Randomness

6.2 Probability Models

6.3 More About Probability

** 7. Random Variables**

7.1 Discrete and Continuous Random Variables

7.2 Means and Variances of Random Variables

Revised treatment of rules for means and variances

New subsection on combining normal random variables

** 8. The Binomial and Geometric Distributions**

8.1 The Binomial Distributions

8.2 The Geometric Distributions

Added derivation of mean and variance of a binomial random variable

Revised and expanded discussion of geometric settings

New exercises.

** 9. Sampling Distributions**

9.1 Sampling Distributions

9.2 Sample Proportions

9.3 Sample Means

Additional simulations involving sampling distributions for proportions and means

Added derivation of mean and standard deviation of the sampling distribution of p

New contexts for examples and exercises

**PART IV. INFERENCE: CONCLUSIONS WITH CONFIDENCE 10. Introduction to Inference**

10.1 Estimating with Confidence

10.2 Tests of Significance

10.3 Using Significance Tests

10.4 Inference as a Decision

New chapter opening activity

Introduction of Inference Toolbox

Expanded treatment of Type I, Type II errors and Power

** 11. Inference for Distributions**

11.1 Inference for the Mean of a Population

11.2 Comparing Two Means

Many new examples and exercises designed for use with the Inference Toolbox

Increased emphasis on distinguishing matched-pairs from two-sample procedures

** 12. Inference for Proportions**

12.1 Inference for a Population Proportion

12.2 Comparing Two Proportions

Many new examples and exercises that use the Inference Toolbox

Added derivation of the mean and standard deviation of the sampling distribution of p1 and p2

** 13. Inference for Tables: Chi-Square Procedures**

13.1 Test for Goodness of Fit

13.2 Inference for Two-Way Tables

New separate treatment of tests of association/independence and homogeneity of populations

Many new examples and exercises using the Inference Toolbox

** 14. Inference for Regression**

14.1 Inference about the Model

14.2 Inference About the Prediction

14.3 Checking the Regression Assumptions

Additional, optional, post-exam chapters on the student and instructor's CDs:

15. Analysis of Variance

16. Multiple Linear Regression

17. Logistic Regression

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Summary

Only one textbook gives students a competitive edge for the AP statistics exam by following the College Board guidelines exclusively.

Only one textbook combines the strength of the data analysis approach and the power of technology with supreme classroom finesse.

Only one textbook provides the support you and your students need to achieve maximum performance.

The Practice of Statistics - your AP Statistics textbook.

And now, the overwhelming favorite for the AP Statistics course is available in an even more powerful new edition, building on the qualities that made it an immediate bestseller with a number of new features, integration of the TI-89, and an even stronger set of print and media ancillaries.

Feature:

- Essential AP content, including with strong treatment non-linear regression, probability as a tool of statistical inference, and additional coverage of geometric distributions and goodness of fit.
- Clear, concise explanations of statistical techniques and principles.
- Interesting examples and exercises, illustrating how statistics is used in a variety of fields.
- Activities that promote statistical thinking at the beginning of each chapter.
- Simulations which lay the groundwork for discovering underlying concepts, helping students to easily understand the material.
- TI-83 graphing calculator integrated throughout, with step-by-step keyboarding instructions and many sample screen outputs are provided.

New to This Edition:

- New Co-author - Daren Starnes, longtime AP Statistics teacher, exam reader, and technology guru.
- TI-89 graphing calculator integration.Now, since a significant number of high schools are using TI-89's, The Practice of Statistics, Second Edition integrates both calculators equally with side-by-side screen shots and keystrokes.
- New Features in Every Chapter:
- ''Technology Toolbox'' shows students how to use the statistical capabilities of the TI-83 and TI-89 graphing calculators, and provides tips for interpreting standard computer output.
- ''Inference Toolbox'' walks students through inference problems in short bites, adding more structure to complicated inference procedures. These begin appearing in chapter 10 where inference is first discussed.
- Increase number of examples and exercises, with more real data and source references.
- Highlighted application titles (in color at the beginning of each exercise) emphasize the variety and abundance of real-life applications.
- Historical Vignettes, at the beginning of each chapter, provide interesting contexts for the material that follows.

Author Bio

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

Starnes, Daren S. : The Webb Schools

Yates, Dan :

Table of Contents

Preface

Statistical Thinking

**PART I. ORGANIZING DATA: LOOKING FOR PATTERNS AND DEPARTURES FROM PATTERNS 1. Exploring Data**

1.1 Displaying Distributions with Graphs

1.2 Describing Distributions with Numbers

New coverage of ogives and linear transformations

New subsection on comparing distributions

Many new examples and exercises using contemporary, real data

Technology Toolbox feature introduced

** 2. The Normal Distributions**

2.1 Density Curves and the Normal Distribution

2.2 Standard Normal Calculations

Revised subsection on normal probability plot

Several technology toolboxes

New exercises

** 3. Examining Relationships**

3.1 Scatterplots

New examples and exercises

Several technology toolboxes

3.2 Correlation

3.3 Least-Squares Regression

Revised sequence of discussion of r2

Computer output for least squares regression is introduced

New exercises

** 4. More on Two-Variable Data**

4.1 Modeling Non-linear Relationships

Revised and expanded discussion of transforming relationships

New exercises

4.2 Interpreting Correlation and Regression

4.3 Relations in Categorical Data

**PART II. PRODUCING DATA: SAMPLES AND EXPERIMENTS 5. Producing Data**

5.1 Designing Samples

5.2 Designing Experiments

5.3 Simulating Experiments

New examples of simulations

New exercises

**PART III PROBABILITY: FOUNDATIONS OF INFERENCE 6. Probability: The Study of Randomness**

6.1 Randomness

6.2 Probability Models

6.3 More About Probability

** 7. Random Variables**

7.1 Discrete and Continuous Random Variables

7.2 Means and Variances of Random Variables

Revised treatment of rules for means and variances

New subsection on combining normal random variables

** 8. The Binomial and Geometric Distributions**

8.1 The Binomial Distributions

8.2 The Geometric Distributions

Added derivation of mean and variance of a binomial random variable

Revised and expanded discussion of geometric settings

New exercises.

** 9. Sampling Distributions**

9.1 Sampling Distributions

9.2 Sample Proportions

9.3 Sample Means

Additional simulations involving sampling distributions for proportions and means

Added derivation of mean and standard deviation of the sampling distribution of p

New contexts for examples and exercises

**PART IV. INFERENCE: CONCLUSIONS WITH CONFIDENCE 10. Introduction to Inference**

10.1 Estimating with Confidence

10.2 Tests of Significance

10.3 Using Significance Tests

10.4 Inference as a Decision

New chapter opening activity

Introduction of Inference Toolbox

Expanded treatment of Type I, Type II errors and Power

** 11. Inference for Distributions**

11.1 Inference for the Mean of a Population

11.2 Comparing Two Means

Many new examples and exercises designed for use with the Inference Toolbox

Increased emphasis on distinguishing matched-pairs from two-sample procedures

** 12. Inference for Proportions**

12.1 Inference for a Population Proportion

12.2 Comparing Two Proportions

Many new examples and exercises that use the Inference Toolbox

Added derivation of the mean and standard deviation of the sampling distribution of p1 and p2

** 13. Inference for Tables: Chi-Square Procedures**

13.1 Test for Goodness of Fit

13.2 Inference for Two-Way Tables

New separate treatment of tests of association/independence and homogeneity of populations

Many new examples and exercises using the Inference Toolbox

** 14. Inference for Regression**

14.1 Inference about the Model

14.2 Inference About the Prediction

14.3 Checking the Regression Assumptions

Additional, optional, post-exam chapters on the student and instructor's CDs:

15. Analysis of Variance

16. Multiple Linear Regression

17. Logistic Regression

Publisher Info

Publisher: W.H. Freeman

Published: 2003

International: No

Published: 2003

International: No

Only one textbook gives students a competitive edge for the AP statistics exam by following the College Board guidelines exclusively.

Only one textbook combines the strength of the data analysis approach and the power of technology with supreme classroom finesse.

Only one textbook provides the support you and your students need to achieve maximum performance.

The Practice of Statistics - your AP Statistics textbook.

And now, the overwhelming favorite for the AP Statistics course is available in an even more powerful new edition, building on the qualities that made it an immediate bestseller with a number of new features, integration of the TI-89, and an even stronger set of print and media ancillaries.

Feature:

- Essential AP content, including with strong treatment non-linear regression, probability as a tool of statistical inference, and additional coverage of geometric distributions and goodness of fit.
- Clear, concise explanations of statistical techniques and principles.
- Interesting examples and exercises, illustrating how statistics is used in a variety of fields.
- Activities that promote statistical thinking at the beginning of each chapter.
- Simulations which lay the groundwork for discovering underlying concepts, helping students to easily understand the material.
- TI-83 graphing calculator integrated throughout, with step-by-step keyboarding instructions and many sample screen outputs are provided.

New to This Edition:

- New Co-author - Daren Starnes, longtime AP Statistics teacher, exam reader, and technology guru.
- TI-89 graphing calculator integration.Now, since a significant number of high schools are using TI-89's, The Practice of Statistics, Second Edition integrates both calculators equally with side-by-side screen shots and keystrokes.
- New Features in Every Chapter:
- ''Technology Toolbox'' shows students how to use the statistical capabilities of the TI-83 and TI-89 graphing calculators, and provides tips for interpreting standard computer output.
- ''Inference Toolbox'' walks students through inference problems in short bites, adding more structure to complicated inference procedures. These begin appearing in chapter 10 where inference is first discussed.
- Increase number of examples and exercises, with more real data and source references.
- Highlighted application titles (in color at the beginning of each exercise) emphasize the variety and abundance of real-life applications.
- Historical Vignettes, at the beginning of each chapter, provide interesting contexts for the material that follows.

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

Starnes, Daren S. : The Webb Schools

Yates, Dan :

Preface

Statistical Thinking

**PART I. ORGANIZING DATA: LOOKING FOR PATTERNS AND DEPARTURES FROM PATTERNS 1. Exploring Data**

1.1 Displaying Distributions with Graphs

1.2 Describing Distributions with Numbers

New coverage of ogives and linear transformations

New subsection on comparing distributions

Many new examples and exercises using contemporary, real data

Technology Toolbox feature introduced

** 2. The Normal Distributions**

2.1 Density Curves and the Normal Distribution

2.2 Standard Normal Calculations

Revised subsection on normal probability plot

Several technology toolboxes

New exercises

** 3. Examining Relationships**

3.1 Scatterplots

New examples and exercises

Several technology toolboxes

3.2 Correlation

3.3 Least-Squares Regression

Revised sequence of discussion of r2

Computer output for least squares regression is introduced

New exercises

** 4. More on Two-Variable Data**

4.1 Modeling Non-linear Relationships

Revised and expanded discussion of transforming relationships

New exercises

4.2 Interpreting Correlation and Regression

4.3 Relations in Categorical Data

**PART II. PRODUCING DATA: SAMPLES AND EXPERIMENTS 5. Producing Data**

5.1 Designing Samples

5.2 Designing Experiments

5.3 Simulating Experiments

New examples of simulations

New exercises

**PART III PROBABILITY: FOUNDATIONS OF INFERENCE 6. Probability: The Study of Randomness**

6.1 Randomness

6.2 Probability Models

6.3 More About Probability

** 7. Random Variables**

7.1 Discrete and Continuous Random Variables

7.2 Means and Variances of Random Variables

Revised treatment of rules for means and variances

New subsection on combining normal random variables

** 8. The Binomial and Geometric Distributions**

8.1 The Binomial Distributions

8.2 The Geometric Distributions

Added derivation of mean and variance of a binomial random variable

Revised and expanded discussion of geometric settings

New exercises.

** 9. Sampling Distributions**

9.1 Sampling Distributions

9.2 Sample Proportions

9.3 Sample Means

Additional simulations involving sampling distributions for proportions and means

Added derivation of mean and standard deviation of the sampling distribution of p

New contexts for examples and exercises

**PART IV. INFERENCE: CONCLUSIONS WITH CONFIDENCE 10. Introduction to Inference**

10.1 Estimating with Confidence

10.2 Tests of Significance

10.3 Using Significance Tests

10.4 Inference as a Decision

New chapter opening activity

Introduction of Inference Toolbox

Expanded treatment of Type I, Type II errors and Power

** 11. Inference for Distributions**

11.1 Inference for the Mean of a Population

11.2 Comparing Two Means

Many new examples and exercises designed for use with the Inference Toolbox

Increased emphasis on distinguishing matched-pairs from two-sample procedures

** 12. Inference for Proportions**

12.1 Inference for a Population Proportion

12.2 Comparing Two Proportions

Many new examples and exercises that use the Inference Toolbox

Added derivation of the mean and standard deviation of the sampling distribution of p1 and p2

** 13. Inference for Tables: Chi-Square Procedures**

13.1 Test for Goodness of Fit

13.2 Inference for Two-Way Tables

New separate treatment of tests of association/independence and homogeneity of populations

Many new examples and exercises using the Inference Toolbox

** 14. Inference for Regression**

14.1 Inference about the Model

14.2 Inference About the Prediction

14.3 Checking the Regression Assumptions

Additional, optional, post-exam chapters on the student and instructor's CDs:

15. Analysis of Variance

16. Multiple Linear Regression

17. Logistic Regression