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Textbook
Applied Statistics and Probability for Engineers, 4th EditionApril 2006, ©2007
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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.
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.
- 25% new homework Exercises:
-Even more varied background for problems (including EE, CS, bioengineering), and more real data/real sources.
-Both simpler and more difficult problems, organized based on level of difficulty.
-Students are asked to select and/or critique the method for solving a problem.
-Students are asked to analyze and interpret the results, and make a recommendation.
-More computer problems.
- Bayes’ Theorem is highlighted more.
- Binomial distribution is included in the text.
- One-sided confidence intervals are highlighted more.
- WileyPLUS - WileyPLUS is a powerful online tool that provides instructors and students with an integrated suite of teaching and learning resources, including an online version of the text, in one easy-to-use website. To learn more about WileyPLUS, and view a demo, please visit the WileyPLUS section of our web site.
-Detailed Problem Solutions that are interactive in Problems and Solutions
-Animations of Key Examples in Interactive Applications
-A concepts database, also interactive in Chapter Concepts Summary works like a glossary, but also linked to problems. So, choose a concept and search all the problems linked to that concept!
- Real Engineering Applications - Treatment of all topics is oriented towards real engineering applications. In the probability chapters, the authors do not emphasize counting methods or artificial applications such as gambling.
- Real Data, Real Engineering Situations - Examples and exercises throughout text use real data and real engineering situations. This motivates students to learn new concepts and gives them a taste of practical engineering experience.
- Probability - Coverage of probability is lively and interesting. It is complete but concise so as not to take over the content of the entire text.
- Regression Modeling, DOE, and SQC - An unusually thorough amount of coverage of regression modeling, design of engineering experiments, and statistical process control makes the book useful as a reference for many important topics.
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