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Statistics for K-12 Textbooks

by David S. Moore and George P. McCabe

Edition: 3RD 99Copyright: 1999

Publisher: W.H. Freeman

Published: 1999

International: No

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Moore and McCabe's best-selling *Introduction to the Practice of Statistics* sets the standard for introductory statistics courses by focusing on data analysis, statistical reasoning, and the way statistics is used in everyday life. Students see clearly that statistics is not just a series of formula-driven exercises, but a powerful tool for understanding the world we live in. Incorporating the latest technology, the Third Edition is designed to help students explore statistics with more ease and comprehension than ever

before.

- Trend-setting, best-selling introduction to 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)
- Reorganized Text offers instructors more options. Teachers can choose material after Chapter Eight by making each natural unit into a separate, shorter, chapter. It also results in a three-part structure that reinforces the major divisions of the book.
- Many New and Revised Exercises and Examples based on new data sets--including more about business and finance.
- New Treatments of many often-difficult topics, such as conditional probability (Chapter 4) and inference for two-way tables (Chapter 9).
- "Beyond the Basics" Sections briefly introduce newer methods that are now becoming standard parts of statistical practice. Topics include density estimation, scatterplot smoothers, capture-recapture sampling, Weibull distributions in reliability, and the bootstrap.
- Four Color Art enhances statistical graphics throughout the text, while informal, user-friendly scales and labels provide easy comprehension.
- Rewritten Text enhances book's accessibility without losing the richness of discussion.
- Includes more frequent subsection headings and boxes.
- Updated Technology now assumes the use of at least a "two-variable statistics" calculator.
- New Statistical Output includes examples from a wider range of software, such as the TI-83 graphing calculator, the Excel spreadsheet, and specific statistical software such as Data Desk, Minitab, and SAS.

**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

2. LOOKING AT DATA--RELATIONSHIPS

Scatterplots

Correlation

Least Squares Regression

Cautions About Regression and Correlation NEW!

An Application: Exponential Growth and World Oil Production

Relations in Categorical Data

The Question of Causation

3. PRODUCING DATA

First Steps

Design of Experiments

Sampling Design

Toward Statistical Inference

**PART II. PROBABILITY AND INFERENCE**

4. PROBABILITY: THE STUDY OF RANDOMNESS

Randomness NEW!

Probability Models

Random Variables

Means and Variance of Random Variable

General Probability Rules*

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*

8. INFERENCE FOR PROPORTIONS

Inference for a Single Proportion

Comparing Two Proportions

PART III. TOPICS ON INFERENCE

9. INFERENCE FOR TWO-WAY TABLES

Inference for Two-Way Tables

Computations and Models for Two-Way Tables*

10. INFERENCE FOR REGRESSION

Simple Linear Regresssion

More Detail About Simple Linear Regresssion*

11. MULTIPLE REGRESSION

12. ONE-WAY ANALYSIS OF VARIANCE

13. TWO-WAY ANALYSIS OF VARIANCE

Data Appendix

AVAILABLE IN CD-ROM 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

Moore and McCabe's best-selling *Introduction to the Practice of Statistics* sets the standard for introductory statistics courses by focusing on data analysis, statistical reasoning, and the way statistics is used in everyday life. Students see clearly that statistics is not just a series of formula-driven exercises, but a powerful tool for understanding the world we live in. Incorporating the latest technology, the Third Edition is designed to help students explore statistics with more ease and comprehension than ever

before.

- Trend-setting, best-selling introduction to 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)
- Reorganized Text offers instructors more options. Teachers can choose material after Chapter Eight by making each natural unit into a separate, shorter, chapter. It also results in a three-part structure that reinforces the major divisions of the book.
- Many New and Revised Exercises and Examples based on new data sets--including more about business and finance.
- New Treatments of many often-difficult topics, such as conditional probability (Chapter 4) and inference for two-way tables (Chapter 9).
- "Beyond the Basics" Sections briefly introduce newer methods that are now becoming standard parts of statistical practice. Topics include density estimation, scatterplot smoothers, capture-recapture sampling, Weibull distributions in reliability, and the bootstrap.
- Four Color Art enhances statistical graphics throughout the text, while informal, user-friendly scales and labels provide easy comprehension.
- Rewritten Text enhances book's accessibility without losing the richness of discussion.
- Includes more frequent subsection headings and boxes.
- Updated Technology now assumes the use of at least a "two-variable statistics" calculator.
- New Statistical Output includes examples from a wider range of software, such as the TI-83 graphing calculator, the Excel spreadsheet, and specific statistical software such as Data Desk, Minitab, and SAS.

Author Bio

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

**McCabe, George P. : Purdue University**

Table of Contents

Preface

What Is Statistics?

**PART 1. DATA**

1. LOOKING AT DATA--DISTRIBUTIONS

Introduction

Displaying Distribution with Graphs

Describing Distributions with Numbers

The Normal Distributions

2. LOOKING AT DATA--RELATIONSHIPS

Scatterplots

Correlation

Least Squares Regression

Cautions About Regression and Correlation NEW!

An Application: Exponential Growth and World Oil Production

Relations in Categorical Data

The Question of Causation

3. PRODUCING DATA

First Steps

Design of Experiments

Sampling Design

Toward Statistical Inference

**PART II. PROBABILITY AND INFERENCE**

4. PROBABILITY: THE STUDY OF RANDOMNESS

Randomness NEW!

Probability Models

Random Variables

Means and Variance of Random Variable

General Probability Rules*

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*

8. INFERENCE FOR PROPORTIONS

Inference for a Single Proportion

Comparing Two Proportions

PART III. TOPICS ON INFERENCE

9. INFERENCE FOR TWO-WAY TABLES

Inference for Two-Way Tables

Computations and Models for Two-Way Tables*

10. INFERENCE FOR REGRESSION

Simple Linear Regresssion

More Detail About Simple Linear Regresssion*

11. MULTIPLE REGRESSION

12. ONE-WAY ANALYSIS OF VARIANCE

13. TWO-WAY ANALYSIS OF VARIANCE

Data Appendix

AVAILABLE IN CD-ROM 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: 1999

International: No

Published: 1999

International: No

Moore and McCabe's best-selling *Introduction to the Practice of Statistics* sets the standard for introductory statistics courses by focusing on data analysis, statistical reasoning, and the way statistics is used in everyday life. Students see clearly that statistics is not just a series of formula-driven exercises, but a powerful tool for understanding the world we live in. Incorporating the latest technology, the Third Edition is designed to help students explore statistics with more ease and comprehension than ever

before.

- Trend-setting, best-selling introduction to 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)
- Reorganized Text offers instructors more options. Teachers can choose material after Chapter Eight by making each natural unit into a separate, shorter, chapter. It also results in a three-part structure that reinforces the major divisions of the book.
- Many New and Revised Exercises and Examples based on new data sets--including more about business and finance.
- New Treatments of many often-difficult topics, such as conditional probability (Chapter 4) and inference for two-way tables (Chapter 9).
- "Beyond the Basics" Sections briefly introduce newer methods that are now becoming standard parts of statistical practice. Topics include density estimation, scatterplot smoothers, capture-recapture sampling, Weibull distributions in reliability, and the bootstrap.
- Four Color Art enhances statistical graphics throughout the text, while informal, user-friendly scales and labels provide easy comprehension.
- Rewritten Text enhances book's accessibility without losing the richness of discussion.
- Includes more frequent subsection headings and boxes.
- Updated Technology now assumes the use of at least a "two-variable statistics" calculator.
- New Statistical Output includes examples from a wider range of software, such as the TI-83 graphing calculator, the Excel spreadsheet, and specific statistical software such as Data Desk, Minitab, and SAS.

**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

2. LOOKING AT DATA--RELATIONSHIPS

Scatterplots

Correlation

Least Squares Regression

Cautions About Regression and Correlation NEW!

An Application: Exponential Growth and World Oil Production

Relations in Categorical Data

The Question of Causation

3. PRODUCING DATA

First Steps

Design of Experiments

Sampling Design

Toward Statistical Inference

**PART II. PROBABILITY AND INFERENCE**

4. PROBABILITY: THE STUDY OF RANDOMNESS

Randomness NEW!

Probability Models

Random Variables

Means and Variance of Random Variable

General Probability Rules*

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*

8. INFERENCE FOR PROPORTIONS

Inference for a Single Proportion

Comparing Two Proportions

PART III. TOPICS ON INFERENCE

9. INFERENCE FOR TWO-WAY TABLES

Inference for Two-Way Tables

Computations and Models for Two-Way Tables*

10. INFERENCE FOR REGRESSION

Simple Linear Regresssion

More Detail About Simple Linear Regresssion*

11. MULTIPLE REGRESSION

12. ONE-WAY ANALYSIS OF VARIANCE

13. TWO-WAY ANALYSIS OF VARIANCE

Data Appendix

AVAILABLE IN CD-ROM 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