Providing an introduction to probability and statistics, this text covers statistical quality control and reliability, topics that other books often leave out. Emphasizing quality and essential material for all engineers, it features chapters on decision theory and stochastic models as well as a discussion of computer programs for multiple regression analysis giving a broader range of subject matter. Also incorporated are examples of real data allowing students and instructors to appreciate the reality and practicality of real data as opposed to artificially manipulated data.
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Now with even more examples with real data, real–world applications, and computer exercise, the Fourth Edition of this accessible text prepares you for situations you′re likely to encounter as a professionakl engineer.
Together with new co–authors David Goldsman and Connie Borror, William Hines and Douglas Montgomery have refined their highly effective pedagogical framework to make their text even more user friendly. This Fourth Edition also features a new chapter on statistical methods for computer situation, as well exceptionally clear statistical coverage, expanded discussions of quiality control, experimental design, and different types of interval estimation, and coverage of such special topics as nonparametric statistics, p–values in hypothetical testing, and residual analysis.
Highlights of the Fourth Edition:
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