Dr. Montgomery has research and teaching interests in industrial statistics including statistical quality control techniques, design of experiments, regression analysis and empirical model building, and the application of operations research methodology to problems in manufacturing systems. He has authored and coauthored many technical papers in these fields and is an author of twelve other books. Dr. Montgomery is a Fellow of the American Society for Quality, a Fellow of the American Statistical Association, a Fellow of the Royal Statistical Society, a Fellow of the Institute of Industrial Engineers, and an Elected member of the International Statistical Institute. He is a Stewart Medallist of the American Society for Quality, and has also received the Brumbaugh Award, the William G. Hunter Award, and the Shewell Award(twice) from the ASQ. He is a recipient of the Ellis R. Ott Award. He is a former editor of the Journal of Quality Technology, the current editor of Quality and Reliability Engineering International, and serves on the editorial boards of several journals.

With Montgomery and Runger’s best-selling engineering statistics text, you can learn how to apply statistics to realengineering situations. The text shows you how to use statistical methods to design and develop new products, and new manufacturing systems and processes. You’ll gain a better understanding of how these methods are used in everyday work, and get a taste of practical engineering experience through real-world, engineering-based examples and exercises.

Now revised, this Fourth Edition of Applied Statistics and Probability for Engineersfeatures many new homework exercises, including a greater variation of problems and more computer problems.

Key Features

• The text treats all topics in a way that reflects today's engineering realities. In the probability chapters, the authors emphasize engineering-specific examples, rather than counting methods or artificial applications such as gambling.
• Examples and exercises throughout the text use real data and real engineering situations.
• Coverage of probability is lively and interesting.  It is complete but concise so as not to take over the content of the entire text.
• Thorough coverage of regression modeling, design of engineering experiments, and statistical process control from experts in these topics makes the book especially useful as a reference.

Chapter 2. Probability.

Chapter 3. Discrete Random Variables and Probability Distributions.

Chapter 4. Continuous Random Variables and Probability Distributions.

Chapter 5. Joint Probability Distributions.

Chapter 6. Random Sampling and Data Description.

Chapter 7. Point Estimation of Parameters.

Chapter 8. Statistical Intervals for a Single Sample.

Chapter 9. Tests of Hypotheses for a Single Sample.

Chapter 10. Statistical Inference for Two Samples.

Chapter 11. Simple Linear Regression and Correlation.

Chapter 12. Multiple Linear Regression.

Chapter 13. Design and Analysis of Single-Factor Experiments: The Analysis of Variance.

Chapter 14. Design of Experiments with Several Factors.

Chapter 15. Nonparametric Statistics.

Chapter 16. Statistical Quality Control.

Appendix A. Statistical Tables and Charts.

Appendix B: Answers to Selected Exercises.

Appendix C: Bibliography Available at www.wiley.com/college/montgomery.

Glossary.

Index.

Applications in Examples and Exercises Continued.