Probability and Statistics for Engineering and the Sciences (with Student Suite Online)
by Jay L. Devore
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Book Summary Information
Author: Jay L. DevoreEdition: Hardcover
Published: 2007-01-26
ISBN: 0495382175
Number of pages: 736
Publisher: Duxbury Press
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Book Reviews of Probability and Statistics for Engineering and the Sciences (with Student Suite Online)
Book Review: Not for those trying to learn stat/prob while taking other classes
Summary: 1 Stars
Too wordy. The book is written as though we all have the time to read everything cover to cover. For those juggling 12+ hours of senior year engineering classes and labs along with work, this obviously is not the best text for seriously learning probability and statistics quickly and effectively.
As a math tutor, it is books like this that make me cringe, as many students have trouble trying to refer to lengthy text when they try to resolve issues on their own. I see way too many students who end up resorting to tutors due to books written like this--not a good sign at all.
Devore would help all of us if he would put more things in clear point-form, have more summarized text, and save anecdotal examples for the example section. If you are assigned this textbook for your class, I highly recommend purchasing the student solution manual--that book is a lifesaver and will help you check your homework. I also recommend any supplemental books such as those by REA and Schaum's to help you better understand the material. Having a statistics tutor would also help if your teacher is not too hot at explaining stuff because you surely can't count on this book for much assistance! Good luck...
Summary of Probability and Statistics for Engineering and the Sciences (with Student Suite Online)
This comprehensive introduction to probability and statistics will give you the solid grounding you need no matter what your engineering specialty. Through the use of lively and realistic examples, the author helps you go beyond simply learning about statistics to actually putting the statistical methods to use. Rather than focus on rigorous mathematical development and potentially overwhelming derivations, the book emphasizes concepts, models, methodology, and applications that facilitate your understanding.General Books
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