Used - Good: All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May include From the library of labels. Shrink wrap, dust covers, or boxed set case may be missing. Item may be missing bundled media. Any access codes or passwords originally included with the book may be expired, used or no longer valid. Image is stock photo and cover art edition may be different than pictured.

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Bibliographic Details

Title: Probability and Statistics for Engineers and Scientists (9th Edition)
Publisher: Pearson
Publication Date: 2011
Language: English
ISBN 10: 0321629116
ISBN 13: 9780321629111
Binding: Hardcover
Condition: good

About this title

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.

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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