Montgomery, Runger, and Hubele provide 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 revision incorporates many insights from the authors' teaching experience along with feedback from numerous adopters of previous editions.
New introductions in each chapter demonstrate the relevance of statistics to engineeringDesign of experiments content revised and inclusion of additional material helps students to better interpret computer software output related to ANOVANew examples demonstrate calculating probability in Excel (Chapter 3)Practical interpretations in example problems provide improved linking of statistical conclusions to the actual engineering decision outcomeApproximately 80 new exercises related to biology and health care (in most chapters)Accessible and manageable - presents important topics that can be covered in one semesterEmphasis on professional practice - students get the coverage most useful to engineers with strong emphasis on data analysis and statistical inference with less focus on distributions and probabilityA strong focus on P-value approach to hypothesis testing familiarizes students with practical approaches to engineering problemsProvides real engineering situations and applications as well as real data sets in examples and homework that help motivate students by applying statistics to the engineering professionA step-by-step problem solving approach integrated into examplesSupports an active learning environment - reading questions and homework problems in WileyPlus help motivate and build student confidence with instant feedback. The supplemental problems and team exercises in the text can be used for in-class team activities, including designing experiments, generating data, and performing analyses.End of section exercises are structured to reinforce the concepts and technigues introduced in each sectionEnd of chapter supplemental exercises integrate concepts and techniques from multiple sections and reinforce student mastery of these conceptsTeam exercises challenge students to apply chapter methods and concepts to problems requiring data collectionSoftware output in MINITAB throughout the text demonstrates the capability of modern statistical software