**CHAPTER 1** The Role of Statistics in Engineering.

1-1 The Engineering Method and Statistical Thinking.

1-2 Collecting Engineering Data.

1-3 Mechanistic and Empirical Models.

1-4 Observing Processes Over Time.

**CHAPTER 2** Data Summary and Presentation.

2-1 Data Summary and Display.

2-2 Stem-and-Leaf Diagram.

2-3 Histograms.

2-4 Box Plot.

2-5 Time Series Plots.

2-6 Multivariate Data.

**CHAPTER 3** Random Variables and Probability Distributions.

3-1 Introduction.

3-2 Random Variables.

3-3 Probability.

3-4 Continuous Random Variables.

3-5 Important Continuous Distributions.

3-6 Probability Plots.

3-7 Discrete Random Variables.

3-8 Binomial Distribution.

3-9 Poisson Process.

3-10 Normal Approximation to the Binomial and Poisson Distributions.

3-11 More than One Random Variable and Independence.

3-12 Functions of Random Variables.

3-13 Random Samples, Statistics, and the Central Limit Theorem.

**CHAPTER 4** Decision Making for a Single Sample.

4-1 Statistical Inference.

4-2 Point Estimation.

4-3 Hypothesis Testing.

4-4 Inference on the Mean of a Population, Variance Known.

4-5 Inference on the Mean of a Population, Variance Unknown.

4-6 Inference on the Variance of a Normal Population.

4-7 Inference on a Population Proportion.

4-8 Other Interval Estimates for a Single Sample.

4-9 Summary Tables of Inference Procedures for a Single Sample.

4-10 Testing for Goodness of Fit.

**CHAPTER 5** Decision Making for Two Samples.

5-1 Introduction.

5-2 Inference on the Means of Two Populations, Variances Known.

5-3 Inference on the Means of Two Populations, Variances Unknown.

5-4 The Paired *t*-Test.

5-5 Inference on the Ratio of Variances of Two Normal Populations.

5-6 Inference on Two Population Proportions.

5-7 Summary Tables for Inference Procedures for Two Samples.

5-8 What if We Have More than Two Samples?

**CHAPTER 6** Building Empirical Models.

6-1 Introduction to Empirical Models.

6-2 Simple Linear Regression.

6-3 Multiple Regression.

6-4 Other Aspects of Regression.

**CHAPTER 7** Design of Engineering Experiments.

7-1 The Strategy of Experimentation.

7-2 Factorial Experiments.

7-3 2^{k} Factorial Design.

7-4 Center Points and Blocking in 2^{k} Designs.

7-5 Fractional Replication of a 2^{k} Design.

7-6 Response Surface Methods and Designs.

7-7 Factorial Experiments With More Than Two Levels.

**CHAPTER 8** Statistical Process Control.

8-1 Quality Improvement and Statistical Process Control.

8-2 Introduction to Control Charts.

8-3 *X* and *R* Control Charts.

8-4 Control Charts For Individual Measurements.

8-5 Process Capability.

8-6 Attribute Control Charts.

8-7 Control Chart Performance.

8-8 Measurement Systems Capability.

**APPENDICES.**

**APPENDIX A** Statistical Tables and Charts.

**APPENDIX B** Bibliography.

**APPENDIX C** Answers to Selected Exercises.

**INDEX.**