Many people find themselves intimidated by concepts such as probability and statistics, but they don’t need to be! With the help of this text, you’ll be able to learn the necessary skills and gain the confidence you need to apply these concepts in your daily life. This book provides an introduction to probability theory and statistics, starting with basic concepts like data types and working its way up to more advanced topics like sampling theory and Bayesian inference.
Overview About “Probability and Statistics for Engineering and the Sciences 8th Edition”
Probability and Statistics for Engineering and Science, an introductory engineering statistics textbook. It offers a comprehensive introduction to probability theory and statistical methods from a multidisciplinary perspective. Suitable as a text in courses that do not emphasize any particular discipline. It includes expanded coverage of ordinary regression analysis applied to linear models. Now present in almost every introductory statistics textbook. But omitted from earlier editions of Probability and Statistics for Engineering and Science. Linear models are an essential tool used in design applications ranging from building bridges to developing pharmaceuticals.
Reviews About “Probability and Statistics for Engineering and the Sciences 8th Edition”
Probability and Statistics for Engineering and Science is a book used in many programs of study at the university or college level to teach students important information needed in order to pursue an engineering career or science degree. The book begins with defining a probability model, gives students insight into binomial experiments, Poisson processes, discrete uniform random variables, continuous uniform random variables as well as normal probability distributions. Throughout these early chapters, there are exercises to allow students to reinforce what they have learned by working through some problems that have worked solutions listed in an appendix of the book.
About “Jay L. Devore” the Author
Jay L. Devore is a professor of applied mathematics at Johns Hopkins University in Baltimore, Maryland, where he has taught since 1974. Dr. Devore’s research interests include engineering education and probability teaching strategies. He also focuses on implementing technology into engineering courses to help improve student learning outcomes. And his students have won awards for their innovative use of technology in courses that Dr. Devore developed over his career. He earned a bachelor’s degree from MIT and a master’s degree from Stanford University. And Harvard University before receiving his doctorate from Stanford University. His textbook Probability & Statistics for Engineering & Science remains popular among engineers who are taking advanced math courses beyond calculus or are preparing to enter graduate school; it was first published in 1977 with two subsequent editions published in 1985 and 1991, all available under copyright through Wiley & Sons publishers.
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