Probability and Statistics for Engineering and the Sciences 8th Edition

64 customer reviews
ISBN-13: 978-0538733526
ISBN-10: 0538733527
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Editorial Reviews

About the Author

Jay Devore is Professor Emeritus of Statistics at California Polytechnic State University. He earned his undergraduate degree in Engineering Science from the University of California at Berkeley, spent a year at the University of Sheffield in England, and finished his Ph.D. in statistics at Stanford University. Jay previously taught at the University of Florida and at Oberlin College and has had visiting appointments at Stanford, Harvard, the University of Washington, New York University, and Columbia University. From 1998 to 2006, he served as Chair of the Statistics Department. In addition to this book, Jay has written several widely used engineering statistics texts and a book in applied mathematical statistics. He recently coauthored a text in probability and stochastic processes. He is the recipient of a distinguished teaching award from Cal Poly, is a Fellow of the American Statistical Association , and has served several terms as an Associate Editor of the "Journal of the American Statistical Association." In his spare time, he enjoys reading, cooking and eating good food, tennis, and travel to faraway places. He is especially proud of his wife, Carol, a retired elementary school teacher, his daughter Allison, who has held several high-level positions in nonprofit organizations in Boston and New York City, and his daughter Teresa, an ESL teacher in New York City.
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Product Details

  • Hardcover: 768 pages
  • Publisher: Duxbury Press; 8 edition (January 1, 2011)
  • Language: English
  • ISBN-10: 0538733527
  • ISBN-13: 978-0538733526
  • Product Dimensions: 10.1 x 8 x 1.4 inches
  • Shipping Weight: 3.4 pounds (View shipping rates and policies)
  • Average Customer Review: 3.0 out of 5 stars  See all reviews (64 customer reviews)
  • Amazon Best Sellers Rank: #15,911 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

18 of 20 people found the following review helpful By shma on March 30, 2012
Format: Kindle Edition Verified Purchase
Awful textbook. Manages to make even simple concepts like variance or the null hypothesis confusing. Badly written, terrible explanations, missing material... I've had to read the DeGroot textbook to decipher the mess in here. So thanks to Devore, I've had to read not one but two very dry textbooks. At least DeGroot's makes sense and includes the necessary mathematical details. If this is how we teach stats in America, no wonder so few people stick with it. It's a shame, because probability and statistics are actually really interesting, incredibly valuable tools.
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14 of 16 people found the following review helpful By E. Smith on February 19, 2012
Format: Hardcover
I've been using this book for two different classes and it's awful. It's extremely dry and doesn't seem to try and teach the reader in an "average person" wording. I'm a CS major, not a stats major so the terminology gets annoying at times. Also, the book will use examples and use random values. That would be fine if the authors described WHY they chose said values instead of saying "alpha = 70.8" and moving on. Lastly, the book's problems and examples cite sources A LOT. This makes reading them tiring and you tend to skip around.

Was not a good introduction or study aid to the field of Statistics.
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5 of 6 people found the following review helpful By complexanimal on July 28, 2013
Format: Hardcover Verified Purchase
As stated by earlier reviewers, this book is extremely long-winded and goes through overly complicated twists and turns in order to explain the simplest of ideas. You often have to read sections 2 or 3 times over again because of the unnecessarily complicated prose only to incredulously think, "THAT was what he was trying to explain?!?" Some examples are small idiosyncrasies that skew to the odd (denoting 0 as 'true' and 1 as 'false' in one example), to other longer explanations that will have you wanting to pull out your hair. Devore's explanation of set theory, for example, is a disaster:

"The union of two events A and B, denoted by A U B and read "A or B," is the event consisting of all outcomes that are either in A or in B or in both events (so that the union includes outcomes for which both A and B occur as well as outcomes for which exactly one occurs)--that is, all outcomes in at least of the events."

Really? A parenthetical AND a dashed run-on sentence just to explain unions? Unfortunately, the lack of clarity extends even to the problem sets. You may spend a good chunk of time just trying to figure what he's only asking only to find out after you're done that he was asking for something totally different.
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4 of 5 people found the following review helpful By D. Boggs on February 7, 2014
Format: Hardcover Verified Purchase
The image and the ISBN number as represented on Amazon matched what I was looking for, but the book that arrived was a paperback with a different cover, and has many different exercises. The examples & text appears to be the same but around 1 out of 10 problems are different. I do have experience with researching International versions and would not have purchased this book if it were depicted accurately. It will get me through the course but I will have to rely on others to assure I am getting the homework assignments. I will not feel comfortable attempting to resell this book locally.
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2 of 2 people found the following review helpful By Anonymous on September 14, 2014
Format: Hardcover
The other reviewers say it best; This book fails at explaining its material to the average reader. As a computer science major with a math minor, I can say this is the least explicit text I have ever read. If I hadn't taken AP stats in highschool I would have no idea of what this textbook is attempting to get at.
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1 of 1 people found the following review helpful By Gino C. on October 26, 2014
Format: Hardcover Verified Purchase
This textbook was for one of my first core major classes. Since I figured it would make a great reference book and our class would be using it quite often, I decided to bite the bullet and purchase it new. To make it easier, I'll break it up into the good and the bad:

The Good:
-If you're an engineer, almost all of the homework problems in the chapters have an engineering application focus. Since I'm a stats major, I really have no clue what application some of the problems have to real-life problems, but it may help an engineer better understand the context of the problem. As well, in typical math-book stride, the odd answers are in the back of the book.
-Major formulas are typically prominently highlighted with a box and bold lettering, so they're easier to find in the chapters.
-The most important tables are in the very front, so you don't have to go looking for them through the appendix.
-The homework problems are divided by section, and the numbers are sequential by chapter rather than section. Therefore, you can't have a homework problem #2 in section 4.1 and 4.3

The Bad:
-Many of the questions are long and some are poorly worded. Look closely at what it wants you to do, or you may end up redoing the problem.
-The formulas are much harder than they need to be. Many are calculus-based when a simple form works in the same way. The book is also extremely wordy and labor-intensive in derivations and examples. Because of this, it makes the work seem much harder than it really is, especially since your TI-84 can do much of this work for you.
-It is an expensive book, new or used. The book itself is smaller than a typical textbook, and the editions are updated frequently.
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Probability and Statistics for Engineering and the Sciences
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