Montgomery and Runger's best-selling engineering statistics text provides
a practical approach oriented to engineering as well as chemical and physical sciences.
By providing unique problem sets that reflect realistic situations, students
learn how the material will be relevant in their careers and is suitable for a one- or
two-term course in probability and statistics.
With a focus 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.
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.
776 pages, Hardcover