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Probability and Statistics for Engineering and the Sciences (Hardcover)

by Jay L. Devore (Author)
2.5 out of 5 stars See all reviews (38 customer reviews)


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Editorial Reviews

Product 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.

About the Author
JAY DEVORE received a B.S. in Engineering Science from UC Berkeley and a Ph.D. in Statistics from Stanford University. He previously taught at the University of Florida and Oberlin College, and has had visiting positions at Stanford, Harvard, the University of Washington, and New York University. He has been at California Polytechnic State University, San Luis Obispo since 1977, where he is currently Professor and Chair of the Department of Statistics. He is a Fellow of the American Statistical Association, an Associate Editor for the Journal of the American Statistical Association, and received the Distinguished Teaching Award from Cal Poly in 1991. His recreational interests include reading, playing tennis, traveling, and cooking and eating good food. --This text refers to an out of print or unavailable edition of this title.

Product Details

  • Hardcover: 750 pages
  • Publisher: Brooks/Cole Publishing Company; 5 edition (December 9, 1999)
  • Language: English
  • ISBN-10: 0534372813
  • ISBN-13: 978-0534372811
  • Product Dimensions: 9.8 x 7.8 x 1.2 inches
  • Shipping Weight: 3 pounds
  • Average Customer Review: 2.5 out of 5 stars See all reviews (38 customer reviews)
  • Amazon.com Sales Rank: #516,152 in Books (See Bestsellers in Books)

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Customer Reviews

38 Reviews
5 star:
 (8)
4 star:
 (4)
3 star:
 (2)
2 star:
 (9)
1 star:
 (15)
 
 
 
 
 
Average Customer Review
2.5 out of 5 stars (38 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

 
43 of 46 people found the following review helpful:
3.0 out of 5 stars Utility Depends on Your Background, June 10, 2002
By Yu-jin Chia "Yu-Jin Chia" (Cupertino, CA USA) - See all my reviews
(REAL NAME)      
Given any particular university level textbook, there's always a compromise between the author's need to write a professional text and concurrently make it easy to understand. This textbook is no exception, and it leans toward the professional aspect. It is therefore good reference or supplementary material for those who already have some background in statistics, but it is very difficult to learn from the text alone.

As for the book itself, it has strengths and weaknesses. On the good side, it has excellent examples that use real world data, albeit largely from esoteric sources. You can see right off that knowing the material will be very useful in real-world applications, which isn't something you get from many other textbooks.

If you happen to be interested in statistical theory, this book has everything you'd want to know and more. Some of the details get pretty gory, but if you like that sort of thing, it's all here. At the same time, the text is organized so you can easily skip those parts if it's not your ballgame.

The layout and organization, in general, are well thought out and implemented. Important formulas are boxed for easy identification, and key terms are well referenced. The book size and weight is also very reasonable for a textbook. This is attained by very concise, mathematical language. Also, a useful CD is included with the text, containing all the data used in the exercises (various program formats) so you don't have to type it all in manually. All-important tables are located in the back of the book, where you can always find them. Additionally, the appendix section has answers to the odd-numbered exercises. It's not that much of a problem that you only have half the solutions, because concurrent problems are usually similar.

Downsides to the text include the language, which is highly technical, relying heavily on symbols, terminology, and acronyms. Of course, statistics in general is like this, but this book really forces you to learn this rather distasteful aspect of the field. Anyway, it could certainly be more user-friendly, although as such it might be less concise. For those who are well accustomed to such things (e.g. statisticians, mathematicians, military people) the material might be an easy thing to pick up. For others, it can be frustrating when you have to flip back a few hundred pages to remind yourself what a particular Greek alphabet was supposed to represent. Personally, I feel a table of all the symbols with a brief description of each would have been a very welcome addition to the appendix.

Though the exercises are generally well done and challenging, I do have some issues with them. From time to time, one would refer to a problem or data set from way back in the textbook- with no executive summary. It would have been nice to be able to see what was being asked without flipping back hundreds of pages. Additionally, the answers provided in the appendix are often nearly useless, since a terse numerical answer says little about how you might arrive at it. For this purpose there is a solutions manual available, but you might be disinclined to pay for it.

The most prominent difficulty with the text- and I know it's not exclusively mine- is the simple fact that it is a professional work. If you have no knowledge of statistics beforehand, it can be an extremely difficult read. For a while I tried to browse the text before lectures, but I found that it wasn't worth the effort. It took so long to plow through to the 'moral of the story' that I ended up just using the book for review. Fortunately, I was lucky enough to have an excellent statistics professor (the author himself) and so was able to pick up the concepts by simply going to class. If, in the admittedly improbable event that you're new to statistics and are looking for an extra book to make up for a poor instructor, you might want to look at a different one. If you already know something about statistics and want a useful reference, then this is your resource.

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11 of 12 people found the following review helpful:
5.0 out of 5 stars I still use this book 9 years after I took the class!, November 5, 1999
By A Customer
This book is chock full of examples which very cleanly illustrate each concept. Math books without examples are worthless in my opinion. There's answers to odd-numbered homework problems in the back, and there's plenty of graphical illustrations to show what is meant. Aside from my 101 Physics book, and Numerical Recipes, this book has got to be one of my most-used treasures.
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13 of 15 people found the following review helpful:
4.0 out of 5 stars Exemplary math textbook, December 2, 1999
By A Customer
This is very clear representation of probability and statistics. It has all the necessary formal definitions but also good explanations how those thing relate to real problems. Book has also enough examples to show how to apply things. There's also lot of exercises and end of the book there's answers to odd numbered exercises, so those exercises are not worthles as they are in many math books when there's no right answers available.

Only negative thing about this book is that it doesn't show proofs to all theories. Also it doesn't use matrix and vector notations, and this is the reason why i gave just four stars. Maybe writer has thought that people reading this book are not familiar with matrix algebra, but I think that ie. regression is much easier to understand with matrices.

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Most Recent Customer Reviews

1.0 out of 5 stars abdimom
Waste of time, paper and money. I had to rely on self-help books on stat. Professor allowed open-book during exams I guess because the textbook it totally useless.
Published 1 month ago by Azamat Abdymomunov

5.0 out of 5 stars Reasonable
We only used the first 4 chapter for this course. Most of the examples are good. The book assumes some prior knowledge of math and statistics but other than that is good.
Published 1 month ago by Daniel Koenemann

5.0 out of 5 stars Great book
I love this book. It works out every single steps. It does not skip straight to the answer. So, even if you don't understand the theories, you can still do well in your class... Read more
Published 3 months ago by colstat

2.0 out of 5 stars Ordered new condition US edition...
and i got a used condition (some damage to the binding of the book) that was an International Edition. Book still works for what i need but not what i ordered
Published 5 months ago by Philip Robinson

1.0 out of 5 stars Probability and Statistics for Engineering and the Sciences (with Student Suite Online)
This is, by far, the worst textbook that I have ever had.
It is written for the author's colleagues, not for students. Read more
Published 7 months ago by Elvis Jones

3.0 out of 5 stars Below Average
It's alright. Some sections are very well explained, but others are done poorly. There are lots of exercises, but no solutions to them and the solution book was practically... Read more
Published 7 months ago by Eric Boyer

1.0 out of 5 stars 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... Read more
Published 16 months ago by Lani Azahari

1.0 out of 5 stars difficult to understand = bad textbook
The author suck in explaining, everything in the book, from deffinition to example are difficult to understand. Read more
Published 17 months ago by B. Sao

1.0 out of 5 stars 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... Read more
Published on March 28, 2007 by J. Lee

2.0 out of 5 stars 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. Read more
Published on February 1, 2007 by Paul Mosier

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