Note: This product is an international student edition and is only available for sale in South Africa. Therefore it cannot be delivered to an international delivery address.

Focusing on how statistical tools are integrated into the engineering problem-solving process, this fourth edition provides coverage of engineering statistics. It covers descriptive statistics, probability, building regression models, and more. It is suitable for a one or two term course in probability and statistics for all engineering majors.

Montgomery and Runger's best-selling engineering statistics text provides a practical approach that is more oriented to engineering and the chemical and physical sciences than many similar texts. It's packed with unique problem sets that reflect realistic situations engineers will encounter in their working lives. This book provides modern coverage of engineering statistics, focusing on how statistical tools are integrated into the engineering problem-solving process. All major aspects of engineering statistics are covered, including descriptive statistics, probability and probability distributions, statistical test and confidence intervals for one and two samples, building regression models, designing and analyzing engineering experiments, and statistical process control. Developed with sponsorship from the National Science Foundation, this text incorporates many insights from the authors' teaching experience along with feedback from numerous adopters of previous editions. This text is suitable for a one or two term course in probability and statistics for all engineering majors.

'Readers will find the content of the book to be useful in engineering problem solving and decision making.' (Zentralblatt MATH,1102,May 2007)

• Chapter 1. The Role of Statistics in Engineering.

  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.

  Appendix A. Statistical Tables and Charts.

  Appendix B: Bibliography.

  Appendix C: Answers to Selected Exercises.

  Glossary.

  Index.

  Problem Solutions.