Synopsis
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. This revision focuses on improved clarity and deeper understanding.
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About the Author
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. The 9th Edition focuses on improved clarity and deeper understanding, and offers an embedded version of StatCrunch that enables you to analyze data sets while reading. It assumes 1 semester of differential and integral calculus as a prerequisite.
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Probability and Statistics for Engineers and Scientists (9th Edition)
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Probability and Statistics for Engineers and Scientists (9th Edition)
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Probability and Statistics for Engineers and Scientists (9th Edition)
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