NOTE: Each chapter begins with "Where You've Been" and "Where You're Going" features. Each chapter concludes with Chapter Summary, Review Exercises, Chapter Quiz, and Chapter Test.

### I. DESCRIPTIVE STATISTICS

1. Introduction to Statistics
• 1.1 An Overview of Statistics
• 1.2 Data Classification
• 1.3 Data Collection and Experimental Design
2. Descriptive Statistics
• 2.1 Frequency Distributions and Their Graphs
• 2.2 More Graphs and Displays
• 2.3 Measures of Central Tendency
• 2.4 Measures of Variation
• 2.5 Measures of Position
• Cumulative Review: Chapters 1 & 2

### II. PROBABILITY AND PROBABILITY DISTRIBUTIONS

1. Probability
• 3.1 Basic Concepts of Probability and Counting
• 3.2 Conditional Probability and the Multiplication Rule
• 3.4 Additional Topics in Probability and Counting
2. Discrete Probability Distributions
• 4.1 Probability Distributions
• 4.2 Binomial Distributions
• 4.3 More Discrete Probability Distributions
3. Normal Probability Distributions
• 5.1 Introduction to Normal Distributions and the Standard Normal Distribution
• 5.2 Normal Distributions: Finding Probabilities
• 5.3 Normal Distributions: Finding Values
• 5.4 Sampling Distributions and the Central Limit Theorem
• 5.5 Normal Approximations to Binomial Distributions
• Cumulative Review: Chapters 3-5

### III. STATISTICAL INFERENCE

1. Confidence Intervals
• 6.1 Confidence Intervals for the Mean (Known)
• 6.2 Confidence Intervals for the Mean (Unknown)
• 6.3 Confidence Intervals for Population Proportions
• 6.4 Confidence Intervals for Variance and Standard Deviation
2. Hypothesis Testing with One Sample
• 7.1 Introduction to Hypothesis Testing
• 7.2 Hypothesis Testing for the Mean (Known)
• 7.3 Hypothesis Testing for the Mean (Unknown)
• 7.4 Hypothesis Testing for Proportions
• 7.5 Hypothesis Testing for Variance and Standard Deviation
3. Hypothesis Testing with Two Samples
• 8.1 Testing the Difference Between Means (Independent Samples, 1 and 2 Known)
• 8.2 Testing the Difference Between Means (Independent Samples, 1 and 2 Unknown)
• 8.3 Testing the Difference Between Means (Dependent Samples)
• 8.4 Testing the Difference Between Proportions
• Cumulative Review: Chapters 6-8

### IV. MORE STATISTICAL INFERENCE

1. Correlation and Regression
• 9.1 Correlation
• 9.2 Linear Regression
• 9.3 Measures of Regression and Prediction Intervals
• 9.4 Multiple Regression
2. Chi-Square Tests and theF-Distribution
• 10.1 Goodness-of-Fit Test
• 10.2 Independence
• 10.3 Comparing Two Variances
• 10.4 Analysis of Variance
• Cumulative Review: Chapters 9 & 10
3. Nonparametric Tests (Online Only)*
• 11.1 The Sign Test
• 11.2 The Wilcoxon Tests
• 11.3 The Kruskal-Wallis Test
• 11.4 Rank Correlation
• 11.5 The Runs Test
• * Available in MyMathLab for School.

### Appendix A:  Alternative Presentation of the Standard Normal Distribution

• Standard Normal Distribution Table
• Alternative Presentation of the Standard Normal Distribution

### Appendix B:  Tables

• Table 1 Random Numbers
• Table 2 Binomial Distribution
• Table 3 Poisson Distribution
• Table 4 Standard Normal Distribution
• Table 5 t-Distribution
• Table 6 Chi-Square Distribution
• Table 7 F-Distribution
• Table 8 Critical Values for the Sign Test
• Table 9 Critical Values for the Wilcoxon Signed-Rank Test
• Table 10 Critical Values for the Spearman Rank Correlation Coefficient
• Table 11 Critical Values for the Pearson Correlation Coefficient
• Table 12 Critical Values for the Number of Runs