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 | | Probability and Statistics for Engineering and the Sciences by Jay L. Devore ISBN-10: 9780534372811 ISBN-10: 0-534-37281-3 ISBN-13: 9780534372811 ISBN-13: 978-0-534-37281-1 Hardcover 1999-12-09 Brooks/Cole Publishing Company Find Lowest Price |
Editorials | ||
Book Description This market-leading text provides a comprehensive introduction to probability models and statistical methods for students in engineering and the physical and natural sciences. It is a proven, accurate book with great examples from an outstanding author, Jay Devore. Through the use of lively and realistic examples with real data, students go beyond simply learning statistics and probability--they actually experience its potential. | ||
Reviews | ||
Not for those trying to learn stat/prob while taking other classes 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... | ||
difficult to understand = bad textbook The author suck in explaining, everything in the book, from deffinition to example are difficult to understand. The words he used, the sentense structure don't make sense most of the time, 98%. Too bad my professor chose this textbook, I want to throw it away many time when reading it because things just don't make sense. An example, a section about stem-and-leaf display, I don't understand it at all, no matter how many time I read that section, I finally got it after reading a quick tutorial on the web for just a few minutes. I spent almost two hour trying to understand it from this book. Cra..zy. | ||
A Very Good Reference This book blends theory and practice nicely. It goes beyond the "how to" just enough to help better understand the mechanics of Statistics. This is very important in engineeering because a computer can do the calculation, but it is the engineer who would make sense out of the results. Although I found several printing errors, but they did not impede my reading. I am waiting for the author to publish the new edition of Applied Statistics for Engineers. The two books would go together well. | ||
Badly Organized, examples pointless and only add to the confusion One of the worst features of this textbook is organization. Expect some questions to ask you to flip back to a previous question requiring you to flip thru several pages for a single question. Would it have been so difficult to rewrite out a few numbers instead of See Problem #12. Also question numbering is completely absurd, rather than going from 1-X they for some reason carry the X to the next section example chapter 1-1 would be problems 1-20, chapter 1-2 21-30... etc it only adds to the confusion of this worthless text. Don't expect to learn anything from the textbook the examples are difficult to understand, and avoids any problems you would expect to see in your lifetime. One of the greatest aspects of probably and statistics is being able to calculate odds in games. Such as probably of blackjack hands, dice rolling, this textbook manages to avoid everything that has to with things like that. | ||
A Book for a Freshmen Level College Course? We are currently two chapter into the book and I have found the text to be nearly useless. There are solid proofs of the basic computations and examples are given. Unfortunately the formulas are extremely abstract while at the same time using mathematical jargon someone who has not taken statistics before would have little to no experience with. Some of the examples are great at helping you out on the first part of problems, but on parts c,d,e,f and g there isn't a whole lot to go off of. But as always universities never choose books based on how well it teaches a student, but normally by the number of editions the publisher puts out and the price of the book. If possible I would have a solutions manual on hand for homework. | ||