This book helps readers understand statistical methodology and use it to solve engineering problems. It introduces the role of statistics and probability in engineering problem solving and illustrates the useful information contained in simple summary and graphical displays. Then it introduces the concepts of random variable, and the probability distribution that describes the behavior of that random variable presenting the basic tools of statistical inference; point estimation, confidence intervals, and hypothesis testing. It also explores empirical model–building, the design of engineering experiments and statistical quality control.

Synopsis

Many of the topics in the text are fundamental to the use of statistics in other disciplines, however the authors have elected to focus on an engineering audience. Using engineering-based exercises, examples and problem sets with real data should allow engineering students to concentrate on the applications of statistics to their discipline. ABET requires that engineers learn statistics and how to effectively use statistical methodology as part of their undergraduate training. Because of other programme requirements, most engineering students will take only one statistics course. This text is suitable for a single course since it emphasizes data description, inference (confidence intervals and tests), model building, designing engineering experiments, and statistical quality control. It aims to provide an understanding of statistical methodology rather than the mathematical theory of statistics. This text is a condensation and revision of the longer text, "Applied Statistics and Probability for Engineers" by Montgomery and Runger, which can be used for a two-term course.

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