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This 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 is packed with unique problem sets that reflect realistic situations engineers will encounter in their working lives. This text shows how statistics, the science of data is just as important for engineers as the mechanical, electrical, and materials sciences. Key Features Coverage of probability is lively and interesting. It is complete but concise so as not to take over the content of the entire text. Treatment of all topics is oriented towards real engineering applications. In the probability chapters, the authors do not emphasise counting methods or artificial applications such as gambling. An unusually thorough amount of coverage of regression modeling, design of engineering experiments, and statistical process control makes the text useful as a reference for many important topics Table of Contents 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. Descriptive Statistics. Chapter 7. Sampling Distributions and 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. Statistical Quality Control. Appendices. Appendix A. Statistical Tables and Charts. Appendix B. Answers to Selected Exercises. Appendix C. Bibliography. Glossary. Index. Index of Applications in Example and Exercises, Continued.