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by David S. Moore and George P. McCabe

Cover type: HardbackEdition: 4TH 03

Copyright: 2003

Publisher: W.H. Freeman

Published: 2003

International: No

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With its focus on data analysis, statistical reasoning, and the way statisticians actually work, Introduction to the Practice of Statistics (IPS) helped revolutionize the general statistics classroom. Freed from an overload of computations, students were able to go beyond the raw numbers to see what the data actually meant. In the years since, the IPS data analysis approach has gone from an attractive alternative to the method of choice for most instructors.

But the revolution doesn't stop there. Now Introduction to the Practice of Statistics is available now in a spectacular new edition.

**Features : **

- Trend-setting, best-selling introductory statistics text.
- Elementary in mathematical level, but conceptually rich in statistical ideas.
- Provides a firm foundation in "data analysis" before moving on to probability and the ideas and methods of formal inference.
- Contains many interesting real data sets for students to work with
- Includes computer exercises within each chapter, but the text does not require use of any specific technology (except a simple "two-variable" statistics calculator).
- Full-color art enhances statistical graphics throughout the text, while informal, user-friendly scales and labels provide easy comprehension.
- Acclaimed problem sets--Moore and McCabe have received more praise for their problem sets than any other introductory statistics textbook authors. Instructors continually cite their originality, variety, and effectiveness.

**New to this Edition : **

- Over 400 new exercises with hundreds more revised and updated, giving instructors a wide range of fresh options for quizzes, assignments, and exams.
- Over 300 supplementary exercises are available on the book's CD-ROM.
- Frequent data updates within examples where relevant. This ensures that the real data students are analyzing is most accurate and current available.
- New applet-based exercises within section and chapter exercise sets, denoted by a special icon. These give students practice exploring manipulable data and graphical outputs. Applets appear on both the CD-ROM and the Web site.
- Increased statistical software output. You will notice more output screens from Minitab, Excel, the TI-83 Graphing Calculator as well as new SPSS screens.
- "Exploring the Web" boxes in most chapters. These boxes involve students in online research and data collection, pointing the way to content-relevant Web sites--from the Census Bureau to interactive applets custom-made for this book.

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

McCabe, George P. : Purdue University

* These sections contain optional material

Preface

What Is Statistics?

**PART 1. DATA ** 1. LOOKING AT DATA--DISTRIBUTIONS

Introduction

Displaying Distribution with Graphs

Describing Distributions with Numbers

The Normal Distributions

More coverage on outliers and new coverage of the 1.5 IQR criterion for detecting possible outliers

2. LOOKING AT DATA--RELATIONSHIPS

Introduction

Scatterplots

Correlation

Least-Squares Regression

Cautions About Regression and Correlation

The Question of Causation

Transforming Relationships* NEW!

New Beyond the Basics section on Data Mining, discussion of data analysis for categorical variables now integrated with inference material in Chapter 9, and an entirely new (optional) section on transformations

3. PRODUCING DATA

Introduction

First Steps

Design of Experiments

Sampling Design

Toward Statistical Inference

New coverage on sampling from large populations

Randomness

Probability Models

Random Variables

Means and Variance of Random Variables

More About Probability*

New material on the mean and variance of sums of correlated random variables; also new clusters of exercises exploring a single application

5. FROM PROBABILITY TO INFERENCE

Sampling Distributions for Counts and Proportions

The Sampling Distribution of a Sample Mean

Control Charts*

6. INTRODUCTION TO INFERENCE

Estimating With Confidence

Tests of Significance

Use and Abuse of Tests

Power and Inference as a Decision*

7. INFERENCE FOR DISTRIBUTIONS

Inference for the Mean of a Population

Comparing Two Means

Optional Topics in Comparing Distributions*

New coverage on inference for nonnormal populations and software approximation for the degrees of freedom (both optional)

8. INFERENCE FOR PROPORTIONS

Inference for a Single Proportion

Comparing Two Proportions

Data Analysis for Two-Way Tables NEW!

Inference for Two-Way Tables

Formulas and Models for Two-Way Tables*

Entirely new section on data analysis for two-way tables and new coverage of goodness of fit tests

10. INFERENCE FOR REGRESSION

Simple Linear Regression

More Detail About Simple Linear Regression*

Reorganized sections to present essential material

11. MULTIPLE REGRESSION

New discussion of data analysis for multiple regression

12. ONE-WAY ANALYSIS OF VARIANCE

New discussion of data analysis for one-way analysis of variance

13. TWO-WAY ANALYSIS OF VARIANCE

New discussion of data analysis for two-way analysis of variance

Data Appendix

AVAILABLE ON THE IPS WEB SITE OR AS A SEPARATE PRINTED SUPPLEMENT

14. NONPARAMETRIC TESTS

Introduction

The Wilcoxon Rank Sum Test

The Wilcoxon Signed Rank Test

The Kruskal-Wallis Test

15. LOGISTIC REGRESSION

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Summary

With its focus on data analysis, statistical reasoning, and the way statisticians actually work, Introduction to the Practice of Statistics (IPS) helped revolutionize the general statistics classroom. Freed from an overload of computations, students were able to go beyond the raw numbers to see what the data actually meant. In the years since, the IPS data analysis approach has gone from an attractive alternative to the method of choice for most instructors.

But the revolution doesn't stop there. Now Introduction to the Practice of Statistics is available now in a spectacular new edition.

**Features : **

- Trend-setting, best-selling introductory statistics text.
- Elementary in mathematical level, but conceptually rich in statistical ideas.
- Provides a firm foundation in "data analysis" before moving on to probability and the ideas and methods of formal inference.
- Contains many interesting real data sets for students to work with
- Includes computer exercises within each chapter, but the text does not require use of any specific technology (except a simple "two-variable" statistics calculator).
- Full-color art enhances statistical graphics throughout the text, while informal, user-friendly scales and labels provide easy comprehension.
- Acclaimed problem sets--Moore and McCabe have received more praise for their problem sets than any other introductory statistics textbook authors. Instructors continually cite their originality, variety, and effectiveness.

**New to this Edition : **

- Over 400 new exercises with hundreds more revised and updated, giving instructors a wide range of fresh options for quizzes, assignments, and exams.
- Over 300 supplementary exercises are available on the book's CD-ROM.
- Frequent data updates within examples where relevant. This ensures that the real data students are analyzing is most accurate and current available.
- New applet-based exercises within section and chapter exercise sets, denoted by a special icon. These give students practice exploring manipulable data and graphical outputs. Applets appear on both the CD-ROM and the Web site.
- Increased statistical software output. You will notice more output screens from Minitab, Excel, the TI-83 Graphing Calculator as well as new SPSS screens.
- "Exploring the Web" boxes in most chapters. These boxes involve students in online research and data collection, pointing the way to content-relevant Web sites--from the Census Bureau to interactive applets custom-made for this book.

Author Bio

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

McCabe, George P. : Purdue University

Table of Contents

* These sections contain optional material

Preface

What Is Statistics?

**PART 1. DATA ** 1. LOOKING AT DATA--DISTRIBUTIONS

Introduction

Displaying Distribution with Graphs

Describing Distributions with Numbers

The Normal Distributions

More coverage on outliers and new coverage of the 1.5 IQR criterion for detecting possible outliers

2. LOOKING AT DATA--RELATIONSHIPS

Introduction

Scatterplots

Correlation

Least-Squares Regression

Cautions About Regression and Correlation

The Question of Causation

Transforming Relationships* NEW!

New Beyond the Basics section on Data Mining, discussion of data analysis for categorical variables now integrated with inference material in Chapter 9, and an entirely new (optional) section on transformations

3. PRODUCING DATA

Introduction

First Steps

Design of Experiments

Sampling Design

Toward Statistical Inference

New coverage on sampling from large populations

Randomness

Probability Models

Random Variables

Means and Variance of Random Variables

More About Probability*

New material on the mean and variance of sums of correlated random variables; also new clusters of exercises exploring a single application

5. FROM PROBABILITY TO INFERENCE

Sampling Distributions for Counts and Proportions

The Sampling Distribution of a Sample Mean

Control Charts*

6. INTRODUCTION TO INFERENCE

Estimating With Confidence

Tests of Significance

Use and Abuse of Tests

Power and Inference as a Decision*

7. INFERENCE FOR DISTRIBUTIONS

Inference for the Mean of a Population

Comparing Two Means

Optional Topics in Comparing Distributions*

New coverage on inference for nonnormal populations and software approximation for the degrees of freedom (both optional)

8. INFERENCE FOR PROPORTIONS

Inference for a Single Proportion

Comparing Two Proportions

Data Analysis for Two-Way Tables NEW!

Inference for Two-Way Tables

Formulas and Models for Two-Way Tables*

Entirely new section on data analysis for two-way tables and new coverage of goodness of fit tests

10. INFERENCE FOR REGRESSION

Simple Linear Regression

More Detail About Simple Linear Regression*

Reorganized sections to present essential material

11. MULTIPLE REGRESSION

New discussion of data analysis for multiple regression

12. ONE-WAY ANALYSIS OF VARIANCE

New discussion of data analysis for one-way analysis of variance

13. TWO-WAY ANALYSIS OF VARIANCE

New discussion of data analysis for two-way analysis of variance

Data Appendix

AVAILABLE ON THE IPS WEB SITE OR AS A SEPARATE PRINTED SUPPLEMENT

14. NONPARAMETRIC TESTS

Introduction

The Wilcoxon Rank Sum Test

The Wilcoxon Signed Rank Test

The Kruskal-Wallis Test

15. LOGISTIC REGRESSION

Publisher Info

Publisher: W.H. Freeman

Published: 2003

International: No

Published: 2003

International: No

With its focus on data analysis, statistical reasoning, and the way statisticians actually work, Introduction to the Practice of Statistics (IPS) helped revolutionize the general statistics classroom. Freed from an overload of computations, students were able to go beyond the raw numbers to see what the data actually meant. In the years since, the IPS data analysis approach has gone from an attractive alternative to the method of choice for most instructors.

But the revolution doesn't stop there. Now Introduction to the Practice of Statistics is available now in a spectacular new edition.

**Features : **

- Trend-setting, best-selling introductory statistics text.
- Elementary in mathematical level, but conceptually rich in statistical ideas.
- Provides a firm foundation in "data analysis" before moving on to probability and the ideas and methods of formal inference.
- Contains many interesting real data sets for students to work with
- Includes computer exercises within each chapter, but the text does not require use of any specific technology (except a simple "two-variable" statistics calculator).
- Full-color art enhances statistical graphics throughout the text, while informal, user-friendly scales and labels provide easy comprehension.
- Acclaimed problem sets--Moore and McCabe have received more praise for their problem sets than any other introductory statistics textbook authors. Instructors continually cite their originality, variety, and effectiveness.

**New to this Edition : **

- Over 400 new exercises with hundreds more revised and updated, giving instructors a wide range of fresh options for quizzes, assignments, and exams.
- Over 300 supplementary exercises are available on the book's CD-ROM.
- Frequent data updates within examples where relevant. This ensures that the real data students are analyzing is most accurate and current available.
- New applet-based exercises within section and chapter exercise sets, denoted by a special icon. These give students practice exploring manipulable data and graphical outputs. Applets appear on both the CD-ROM and the Web site.
- Increased statistical software output. You will notice more output screens from Minitab, Excel, the TI-83 Graphing Calculator as well as new SPSS screens.
- "Exploring the Web" boxes in most chapters. These boxes involve students in online research and data collection, pointing the way to content-relevant Web sites--from the Census Bureau to interactive applets custom-made for this book.

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

McCabe, George P. : Purdue University

Preface

What Is Statistics?

**PART 1. DATA ** 1. LOOKING AT DATA--DISTRIBUTIONS

Introduction

Displaying Distribution with Graphs

Describing Distributions with Numbers

The Normal Distributions

More coverage on outliers and new coverage of the 1.5 IQR criterion for detecting possible outliers

2. LOOKING AT DATA--RELATIONSHIPS

Introduction

Scatterplots

Correlation

Least-Squares Regression

Cautions About Regression and Correlation

The Question of Causation

Transforming Relationships* NEW!

New Beyond the Basics section on Data Mining, discussion of data analysis for categorical variables now integrated with inference material in Chapter 9, and an entirely new (optional) section on transformations

3. PRODUCING DATA

Introduction

First Steps

Design of Experiments

Sampling Design

Toward Statistical Inference

New coverage on sampling from large populations

Randomness

Probability Models

Random Variables

Means and Variance of Random Variables

More About Probability*

New material on the mean and variance of sums of correlated random variables; also new clusters of exercises exploring a single application

5. FROM PROBABILITY TO INFERENCE

Sampling Distributions for Counts and Proportions

The Sampling Distribution of a Sample Mean

Control Charts*

6. INTRODUCTION TO INFERENCE

Estimating With Confidence

Tests of Significance

Use and Abuse of Tests

Power and Inference as a Decision*

7. INFERENCE FOR DISTRIBUTIONS

Inference for the Mean of a Population

Comparing Two Means

Optional Topics in Comparing Distributions*

New coverage on inference for nonnormal populations and software approximation for the degrees of freedom (both optional)

8. INFERENCE FOR PROPORTIONS

Inference for a Single Proportion

Comparing Two Proportions

Data Analysis for Two-Way Tables NEW!

Inference for Two-Way Tables

Formulas and Models for Two-Way Tables*

Entirely new section on data analysis for two-way tables and new coverage of goodness of fit tests

10. INFERENCE FOR REGRESSION

Simple Linear Regression

More Detail About Simple Linear Regression*

Reorganized sections to present essential material

11. MULTIPLE REGRESSION

New discussion of data analysis for multiple regression

12. ONE-WAY ANALYSIS OF VARIANCE

New discussion of data analysis for one-way analysis of variance

13. TWO-WAY ANALYSIS OF VARIANCE

New discussion of data analysis for two-way analysis of variance

Data Appendix

AVAILABLE ON THE IPS WEB SITE OR AS A SEPARATE PRINTED SUPPLEMENT

14. NONPARAMETRIC TESTS

Introduction

The Wilcoxon Rank Sum Test

The Wilcoxon Signed Rank Test

The Kruskal-Wallis Test

15. LOGISTIC REGRESSION