Front Matter

BRIEF CONTENTS

CONTENTS

TO INSTRUCTORS: ABOUT THIS BOOK

MEDIA AND SUPPLEMENTS

TO STUDENTS: WHAT IS STATISTICS?

INDEX OF CASES

INDEX OF DATA TABLES

BEYOND THE BASICS INDEX

ABOUT THE AUTHORS

Chapter 1: Examining Distributions

Examining Distributions

1.1 Data

Section 1.1 Summary

Section 1.1 Exercises

1.2 Displaying Distributions with Graphs

Section 1.2 Summary

Section 1.2 Exercises

1.3 Describing Distributions with Numbers

Section 1.3 Summary

Section 1.3 Exercises

1.4 Density Curves and the Normal Distributions

Section 1.4 Summary

Section 1.4 Exercises

CHAPTER 1 Review Exercises

CHAPTER 1 Technology Appendix

Getting Started with Statistical Computing

Chapter 2: Examining Relationships

Examining Relationships

2.1 Scatterplots

SECTION 2.1 Summary

SECTION 2.1 Exercises

2.2 Correlation

SECTION 2.2 Summary

SECTION 2.2 Exercises

2.3 Least-Squares Regression

SECTION 2.3 Summary

SECTION 2.3 Exercises

2.4 Cautions about Correlation and Regression

SECTION 2.4 Summary

SECTION 2.4 Exercises

2.5 Relations in Categorical Data

SECTION 2.5 Summary

SECTION 2.5 Exercises

CHAPTER 2 Review Exercises

CHAPTER 2 Technology Appendix

Examining Relationships with Excel, JMP, Minitab, SPSS, CrunchIt!, R, and a TI-83/-84 Calculator

Chapter 3: Producing Data

Producing Data

3.1 Sources of Data

SECTION 3.1 Summary

SECTION 3.1 Exercises

3.2 Designing Samples

SECTION 3.2 Summary

SECTION 3.2 Exercises

3.3 Designing Experiments

SECTION 3.3 Summary

SECTION 3.3 Exercises

3.4 Data Ethics

SECTION 3.4 Summary

SECTION 3.4 Exercises

Chapter 3 Review Exercises

CHAPTER 3 Technology Appendix

Simple Random Samples with Excel, JMP, Minitab, SPSS, CrunchIt!, R, and TI-83/-84 Calculators

Chapter 4: Probability: The Study of Randomness

Probability: The Study of Randomness

4.1 Randomness

SECTION 4.1 Summary

SECTION 4.1 Exercises

4.2 Probability Models

SECTION 4.2 Summary

SECTION 4.2 Exercises

4.3 General Probability Rules

SECTION 4.3 Summary

SECTION 4.3 Exercises

4.4 Random Variables

SECTION 4.4 Summary

SECTION 4.4 Exercises

4.5 Means and Variances of Random Variables

SECTION 4.5 Summary

SECTION 4.5 Exercises

CHAPTER 4 Review Exercises

CHAPTER 4 Technology Appendix

Probability: The Study of Randomness with Excel, JMP, Minitab, SPSS, CrunchIt!, R, and TI-83/-84 Calculators

Chapter 5: Distributions for Counts and Proportions

Distributions for Counts and Proportions

5.1 The Binomial Distributions

SECTION 5.1 Summary

SECTION 5.1 Exercises

5.2 The Poisson Distributions

SECTION 5.2 Summary

SECTION 5.2 Exercises

5.3 Toward Statistical Inference

SECTION 5.3 Summary

SECTION 5.3 Exercises

CHAPTER 5 Review Exercises

CHAPTER 5 Technology Appendix

Distributions for Counts and Proportions with Excel, JMP, Minitab, SPSS, CrunchIt!, R, and TI-83/-84 Calculators

Chapter 6: Introduction to Inference

Introduction to Inference

6.1 The Sampling Distribution of a Sample Mean

SECTION 6.1 Summary

SECTION 6.1 Exercises

6.2 Estimating with Confidence

SECTION 6.2 Summary

SECTION 6.2 Exercises

6.3 Tests of Significance

SECTION 6.3 Summary

SECTION 6.3 Exercises

6.4 Using Significance Tests

SECTION 6.4 Summary

SECTION 6.4 Exercises

6.5 Power and Inference as a Decision

SECTION 6.5 Summary

SECTION 6.5 Exercises

CHAPTER 6 Review Exercises

CHAPTER 6 Technology Appendix

Introduction to Inference with Excel, JMP, Minitab, SPSS, CrunchIt!, R, and TI-83/-84 Calculators

Chapter 7: Inference for Means

Inference for Means

7.1 Inference for the Mean of a Population

Section 7.1 Summary

Section 7.1 Exercises

7.2 Comparing Two Means

Section 7.2 Summary

Section 7.2 Exercises

7.3 Additional Topics on Inference

Section 7.3 Summary

Section 7.3 Exercises

Chapter 7 Review Exercises

CHAPTER 7 Technology Appendix

Inference for Distributions with Excel, JMP, Minitab, SPSS, CrunchIt!, R, and TI-83/-84 Calculators

Chapter 8: Inference for Proportions

Inference for Proportions

8.1 Inference for a Single Proportion

SECTION 8.1 Summary

SECTION 8.1 Exercises

8.2 Comparing Two Proportions

SECTION 8.2 Summary

SECTION 8.2 Exercises

CHAPTER 8 Review Exercises

CHAPTER 8 Technology Appendix

Inference for Proportions with Excel, JMP, Minitab, SPSS, CrunchIt!, R, and TI-83-84 Calculators

Chapter 9: Inference for Categorical Data

Inference for Categorical Data

9.1 Inference for Two-Way Tables

SECTION 9.1 Summary

9.2 Goodness of Fit

SECTION 9.2 Summary

CHAPTER 9 Review Exercises

CHAPTER 9 Technology Appendix

Inference for Categorical Data with Excel, JMP, Minitab, SPSS, CrunchIt!, R, and TI-83/-84 Calculators

Chapter 10: Inference for Regression

Inference for Regression

10.1 Inference about the Regression Model

SECTION 10.1 Summary

SECTION 10.1 Exercises

10.2 Using the Regression Line

SECTION 10.2 Summary

SECTION 10.2 Exercises

10.3 Some Details of Regression Inference

SECTION 10.3 Summary

SECTION 10.3 Exercises

CHAPTER 10 Review Exercises

CHAPTER 10 Technology Appendix

Inference for Regression with Excel, JMP, Minitab, SPSS, CrunchIt!, R, and TI-83/-84 Calculators

Chapter 11: Multiple Regression

Multiple Regression

11.1 Data Analysis for Multiple Regression

SECTION 11.1 Summary

SECTION 11.1 Exercises

11.2 Inference for Multiple Regression

SECTION 11.2 Summary

SECTION 11.2 Exercises

11.3 Multiple Regression Model Building

SECTION 11.3 Summary

SECTION 11.3 Exercises

CHAPTER 11 Review Exercises

CHAPTER 11 Technology Appendix

Multiple Regression with Excel, JMP, Minitab, SPSS, CrunchIt!, R, and TI-83/-84 Calculators

Chapter 12: Statistics for Quality: Control and Capability

Statistics for Quality: Control and Capability

12.1 Statistical Process Control

SECTION 12.1 Summary

SECTION 12.1 Exercises

12.2 Variable Control Charts

SECTION 12.2 Summary

SECTION 12.2 Exercises

12.3 Attribute Control Charts

SECTION 12.3 Summary

SECTION 12.3 Exercises

CHAPTER 12 Review Exercises

CHAPTER 12 Technology Appendix

Statistics for Quality: Control and Capability with Excel, JMP, Minitab, SPSS, CrunchIt!, R, and TI-83/-84 Calculators

Chapter 13: Time Series Forecasting

Time Series Forecasting

13.1 Assessing Time Series Behavior

SECTION 13.1 Summary

SECTION 13.1 Exercises

13.2 Random walks

SECTION 13.2 Summary

SECTION 13.2 Exercises

13.3 Modeling Trend and Seasonality Using Regression

SECTION 13.3 Summary

SECTION 13.3 Exercises

13.4 Lag Regression Models

SECTION 13.4 Summary

SECTION 13.4 Exercises

13.5 Moving-Average and Smoothing Models

SECTION 13.5 Summary

SECTION 13.5 Exercises

CHAPTER 13 Review Exercises

CHAPTER 13 Technology Appendix

Time Series Forecasting with Excel, JMP, Minitab, SPSS, CrunchIt!, R, and TI-83/-84 Calculators

Chapter 14: One-Way Analysis of Variance

One-Way Analysis of Variance

14.1 One-Way Analysis of Variance

SECTION 14.1 Summary

14.2 Comparing Group Means

SECTION 14.2 Summary

14.3 The Power of the ANOVA Test

SECTION 14.3 Summary

CHAPTER 14 Review Exercises

CHAPTER 14 Technology Appendix

One-Way Analysis of Variance with Excel, JMP, Minitab, SPSS, CrunchIt!, R, and TI-83/-84 Calculators

Chapter 15: Two-Way Analysis of Variance

Two-Way Analysis of Variance

15.1 The Two-Way ANOVA Model

SECTION 15.1 Summary

15.2 Inference for Two-Way ANOVA

SECTION 15.2 Summary

CHAPTER 15 Review Exercises

CHAPTER 15 Technology Appendix

Two-Way Analysis of Variance with Excel, JMP, Minitab, SPSS, CrunchIt!, R, and TI-83/-84 Calculators

Chapter 16: Nonparametric Tests

Nonparametric Tests

16.1 The Wilcoxon Rank Sum Test

SECTION 16.1 Summary

SECTION 16.1 Exercises

16.2 The Wilcoxon Signed Rank Test

SECTION 16.2 Summary

SECTION 16.2 Exercises

16.3 The Kruskal-Wallis Test

SECTION 16.3 Summary

SECTION 16.3 Exercises

CHAPTER 16 Review Exercises

CHAPTER 16 Technology Appendix

Nonparametric Tests with Excel, JMP, Minitab, SPSS, CrunchIt!, R, and TI-83-/84 Calculators

Chapter 17: Logistic Regression

Logistic Regression

17.1 The Logistic Regression Model

SECTION 17.1 Summary

17.2 Inference for Logistic Regression

SECTION 17.2 Summary

17.3 Multiple Logistic Regression

SECTION 17.3 Summary

CHAPTER 17 Review Exercises

CHAPTER 17 Technology Appendix

Logistic Regression with Excel, JMP, Minitab, SPSS, CrunchIt!, R, and a TI-83/-84 Calculator

Back Matter

INDEX

Tables

Notes and Data Sources