0. INTRODUCTION: DEFINITION AND USES OF STATISTICS

PART I

1. Looking at Data: Distributions

1.1 Displaying Distributions

1.2 Describing Distributions

1.3 The Normal Distributions

2. Looking at Data: Relationships

2.1 Scatterplots

2.2 Correlation

2.3 Least-Squares Regression

2.4 Cautions about Regression and Correlation

2.5 The Question of Causation

3. Producing Data

3.1 First Steps

3.2 Design of Experiments

3.3 Sampling Design

3.4 Toward Statistical Inference

PART II

4. Probability: The Study of Randomness

4.1 Randomness

4.2 Probability Models

4.3 Random Variables

4.4 Mean and Variances of Random Variables

4.5 Probability Laws

5. From Probability to Inference

5.1 Counts and Proportions

5.2 Sample Means

PART III

6. Introduction to Inference

6.1 Estimating with Confidence

6.2 Tests of Significance

6.3 Use and Abuse of Tests

7. Inference for Distributions

7.1 Inference for the Mean of a Population

7.2 Comparing Two Means

8. Inference for Count Data

8.1 Inference for a Single Proportion

8.2 Comparing Two Proportions

9. Inference for Two-Way Tables

9.1 Inference for Two-Way Tables

9.2 Formulas and Models for Two-Way Tables

PART IV

10. Inference for Regression

10.1 Simple Linear Regresion

11. Multiple Regression

12. One-Way Analysis of Variance

13. Two-Way Analysis of Variance

14. Nonparametric Tests

14.1 Wilcoxon Rank Sum Test

14.2 The Wilcoxon Signed Rank Test

14.3 The Kruskal-Wallace Test