PART I Data
CHAPTER 1 Examining Distributions
1.1 Displaying Distributions with Graphs
1.2 Describing Distributions with Numbers
1.3 Density Curves and the Normal Distributions
CHAPTER 2 Examining Relationships
2.1 Scatterplots
2.2 Correlation
2.3 Least-Squares Regression
2.4 Cautions about Correlation and Regression
2.5 Relations in Categorical Data
CHAPTER 3 Producing Data
3.1 Designing Samples
3.2 Designing Experiments
3.3 Toward Statistical Inference
3.4 Commentary: Data Ethics
PART II Probability and Inference
CHAPTER 4 Probability and Sampling Distributions
4.1 Randomness
4.2 Probability Models
4.3 Random Variables
4.4 The Sampling Distribution of a Sample Mean
CHAPTER 5 Probability Theory
5.1 General Probability Rules
5.2 Conditional Probability
5.3 The Binomial Distributions
5.4 The Poisson Distributions
CHAPTER 6 Introduction to Inference
6.1 Estimating with Confidence
6.2 Tests of Significance
6.3 Using Significance Tests
6.4 Power and Inference as a Decision
CHAPTER 7 Inference for Distributions
7.1 Inference for the Mean of a Population
7.2 Comparing Two Means
7.3 Optional Topics in Comparing Distributions
CHAPTER 8 Inference for Proportions
8.1 Inference for a Single Proportion
8.2 Comparing Two Proportions
PART III Topics in Inference
CHAPTER 9 Inference for Two-Way Tables
9.1 Analysis of Two-Way Tables
9.2 Formulas and Models for Two-Way Tables
CHAPTER 10 Inference for Regression
10.1 Inference about the Regression Model
10.2 Using the Regression Line
10.3 Some Details of Regression Inference
CHAPTER 11 Multiple Regression
11.1 Data Analysis for Multiple Regression
11.2 Inference for Multiple Regression
11.3 Multiple Regression Model Building
CHAPTER 12 Statistics for Quality: Control and Capability
12.1 Statistical Process Control
12.2 Variable Control Charts
12.3 Attribute Control Charts
CHAPTER 13 Time Series Forecasting
13.1 Assessing Time Series Behavior
13.2 Modeling Trend and Seasonality Using Regression
13.3 Lag Regression Models
13.4 Moving-Average and Smoothing Models
CHAPTER 14 One-Way Analysis of Variance
14.1 One-Way Analysis of Variance
14.2 Comparing Group Means
14.3 The Power of the ANOVA Test
The Core book includes Chapters 1–14. Chapters 15–17 are individual optional
Companion Chapters and can be found on the CD-ROM that accompanies this text
or on the companion Web site.
PART IV Optional Companion Chapters
CHAPTER 15 Two-Way Analysis of Variance
15.1 The Two-Way ANOVA Model
15.2 Inference for Two-Way ANOVA
CHAPTER 16 Nonparametric Tests
16.1 The Wilcoxon Rank Sum Test
16.2 The Wilcoxon Signed Rank Test
16.3 The Kruskal-Wallis Test
CHAPTER 17 Logistic Regression
17.1 The Logistic Regression Model
17.2 Inference for Logistic Regression
17.3 Multiple Logistic Regression