Description
PROBABILITY AND STATISTICS FOR ENGINEERS AND SCIENTISTS, Fourth Edition, continues the approach that has made previous editions successful. As a teacher and researcher at a premier engineering school, author Tony Hayter is in touch with engineers daily--and understands their vocabulary. The result of this familiarity with the professional community is a clear and readable writing style that readers understand and appreciate, as well as high-interest, relevant examples and data sets that hold readers' attention. A flexible approach to the use of computer tools includes tips for using various software packages as well as computer output (using MINITAB and other programs) that offers practice in interpreting output. Extensive use of examples and data sets illustrates the importance of statistical data collection and analysis for students in a variety of engineering areas as well as for students in physics, chemistry, computing, biology, management, and mathematics.
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Hayter presents this probability and statistics text for undergraduate or graduate science and engineering programs, with the fourth edition including new and refined examples with relevance to contemporary topics such as the internet and sustainability. The first chapters present the basics of probability theory and random variables, followed by discussion of a number of discrete and continuous probability distributions, with a full chapter characterizing the normal distribution. Descriptive statistics, sampling, confidence intervals and mean comparison are covered. The book then moves into discrete data analysis, ANOVA, correlations and regressions, and multifactorial design and analysis. The last few chapters cover nonparametric methods, quality control, reliability analysis and life testing. Each chapter includes application of concepts to one or both of two recurring case studies introduced at the beginning of the book: microelectronic solder joints and internet marketing. Annotation ©2014 Ringgold, Inc., Portland, OR (protoview.com)
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