1.1 Data.-

1.2 Displaying Distributions with Graphs.-

1.3 Describing Distributions with Numbers.-

1.4 Density Curves and Normal Distributions.-

2.1 Relationships.-

2.2 Scatterplots.-

2.3 Correlation.-

2.4 Least-Squares Regression.-

2.5 Cautions about Correlation and Regression.-

<2.6 Data Analysis for Two-Way Tables.-

2.7 The Question of Causation.-

3.1 Sources of Data.-

3.2 Design of Experiments.-

3.3 Sampling Design.-

3.4 Ethics.-

4.1 Randomness.-

4.2 Probability Models.-

4.3 Random Variables.-

4.4 Means and Variances of Random Variables.-

4.5 General Probability Rules.-

5.1 Toward Statistical Inference.-

5.2 The Sampling Distribution of a Sample Mean.-

5.3 Sampling Distributions for Counts and Proportions.-

6.1 Estimating with Confidence.-

6.2 Tests of Significance.-

6.3 Use and Abuse of Tests.-

6.4 Power and Inference as a Decision

Power.-

7.1 Inference for the Mean of a Population.-

7.2 Comparing Two Means.-

7.3 Additional Topics on Inference.-

8.1 Inference for a Single Proportion.-

8.2 Comparing Two Proportions.-

9.1 Inference for Two-Way Tables.-

10.1 Simple Linear Regression.-

10.2 More Detail about Simple Linear Regression.-

11.1 Inference for Multiple Regression.-

11.2 A Case Study.-

12.1 Inference for One-Way Analysis of Variance.-

12.2 Comparing the Means.-

13.1 The Two-Way ANOVA Model.-

14.1 The Logistic Regression Model.-

14.2 Inference for Logistic Regression.-

15.1 The Wilcoxon Rank Sum Test.-

15.2 The Wilcoxon Signed Rank Test.-

15.3 The Kruskal-Wallis Test.-

16.1 The Bootstrap Idea.-

16.2 First Steps in Using the Bootstrap.-

16.3 How Accurate Is a Bootstrap Distribution?.-

16.4 Bootstrap Confidence Intervals.-

16.5 Significance Testing Using Permutation Tests.-

17.1 Processes and Statistical Process Control.-

17.2 Using Control Charts.-

17.3 Process Capability Indexes.-

17.4 Control Charts for Sample Proportions.-