Probability and statistics for engineers and scientists

This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance of theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field.

Introduction to Probability and Statistics for Engineers and Scientists, Fifth Edition is a proven text reference that provides a superior introduction to applied probability and statistics for engineering or science majors. The book lays emphasis in the manner in which probability yields insight into statistical problems, ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data from actual studies across life science, engineering, computing and business are incorporated in a wide variety of exercises and examples throughout the text. These examples and exercises are combined with updated problem sets and applications to connect probability theory to everyday statistical problems and situations. The book also contains end of chapter review material that highlights key ideas as well as the risks associated with practical application of the material. Furthermore, there are new additions to proofs in the estimation section as well as new coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions.

Probability and statistics for engineers and scientists

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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 students understand and appreciate, as well as high-interest, relevant examples and data sets that keep students' attention. A flexible approach to the use of computer tools, including tips for using various software packages, allows instructors to choose the program that best suits their needs. At the same time, substantial computer output using MINITAB and other programs gives students the necessary practice in interpreting output. Extensive use of examples and data sets illustrates the importance of statistical data collection and analysis for students in the fields of aerospace, biochemical, civil, electrical, environmental, industrial, mechanical, and textile engineering, as well as for students in physics, chemistry, computing, biology, management, and mathematics. Please select an option. Probability and Statistics for Engineers and Scientists 4th Edition.

Probability and statistics for engineers and scientists

Looking for your MyLab or Mastering eTextbook? Find it here Opens in an new tab. Probability and Statistics for Engineers and Scientists applies probability and statistics to engineering, science and computer science. It introduces basic probability theory and statistical inference, with a unique balance of theory and methodology, and helps you learn to use concepts to solve problems that occur in many real-life scientific and engineering situations. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the fields of biomedical, bioengineering, business, computing, and more. It assumes 1 semester of differential and integral calculus as a prerequisite. When you purchase an eTextbook subscription, it will last 4 months. You can renew your subscription by selecting Extend subscription on the Manage subscription page in My account before your initial term ends. If you extend your subscription, we'll automatically charge you every month. To make sure your learning is uninterrupted, please check your card details.

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Introduction to Probability and Statistics for Engineers and Scientists, Fifth Edition is a proven text reference that provides a superior introduction to applied probability and statistics for engineering or science majors. Customer reviews. Sorry, there was an error. The book spends paragraphs explaining the topics and then throws some examples and review questions your way, but never seems to make any attempt to make it more interesting for you as the reader. See more reviews. He received his Ph. Fat chance of seeing any of that in most chapters. Full content visible, double tap to read brief content. This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance of theory and methodology. The book is pretty well written, and gives ample examples for study material and to follow along with any lecture material you may have. The excercises have answers for odd numbered questions at least. Similar items that may deliver to you quickly. He has published many technical articles and textbooks in the areas of statistics and applied probability.

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William D. AmazonGlobal Ship Orders Internationally. The book spends paragraphs explaining the topics and then throws some examples and review questions your way, but never seems to make any attempt to make it more interesting for you as the reader. I should have opted for a stats class that didn't use such a worthless heap of garbage that calls itself a book. Sell on Amazon Start a Selling Account. Introduction to Probability and Statistics for Engineers and Scientists, Fifth Edition is a proven text reference that provides a superior introduction to applied probability and statistics for engineering or science majors. He received his Ph. If used in its entirety, it is suitable for a two semester junior-level course sequence, with course 1 covering chapters and course 2 covering chapters I initially thought this book was great. Top reviews from other countries. Ring Smart Home Security Systems. The book is pretty well written, and gives ample examples for study material and to follow along with any lecture material you may have. Reviews with images. About this item. Ronald E.