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Probability and Statistics for Engineering and the Sciences (with CD-ROM and InfoTrac) (Available Titles CengageNOW)

Probability and Statistics for Engineering and the Sciences (with CD-ROM and InfoTrac) (Available Titles CengageNOW)

Probability and Statistics for Engineering and the Sciences (with CD-ROM and InfoTrac) (Available Titles CengageNOW)
By Jay L. Devore

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(161 customer reviews)

Book Description

This market-leading text provides a comprehensive introduction to probability and statistics 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, students go beyond simply learning about statistics--they actually experience its potential. The book emphasizes concepts, models, methodology and applications, as opposed to rigorous mathematical development and derivations.


Book Details

  • Amazon Sales Rank: #703016 in Books
  • Brand: Brand: Duxbury Press
  • Published on: 2003-06-30
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.25" h x 7.50" w x 1.25" l,
  • Binding: Hardcover
  • 764 pages

Features

  • Used Book in Good Condition

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.


Customer Reviews

Most helpful customer reviews

4 of 4 people found the following review helpful.
3P(Understanding the Formulas) = .75
By Gino C.
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. While the content typically doesn't change during an edition update, the homework problems at the end of each section do; if your professor gives you graded homework from the book, you're stuck with this thing.

Overall: The book does an OK job at educating at a higher level than a basic stats book. In its class, it would be considered on the higher-rated end, but don't expect this book to be the best thing you've ever read (or skimmed).

5 of 5 people found the following review helpful.
5Great intro to probability and statistics.
By Josh
I felt that this was an excellent book. I easily learned more from this book than the professor (who, although seeming to know the subject matter, was deaf and couldn't understand his students). I am seeking a degree in math and statistics teaching and I am really sorry I sold this book back but I needed the money at the time. I hope to purchase it back some day. It is somewhat calculation intensive, but is manageable for those with a calculus background which is usually required anyway to take any sort of course in statistics at any college. The examples were great and instructive and I've gone on to pass 5000 level stats classes with A's. I will be interested in having this book when I can afford it. If you can learn to get into the text, you will likely learn more from this book than you lecture (I had to) and will enjoy the subject as well.

1 of 1 people found the following review helpful.
2Blegh
By Kevin Brunner
I will preface this by saying that I have taken and received 4.0's in Calculus up to Differential Equations. That said, this textbook is terrible. The explanations are extremely long-winded, the formulas are stated in an unclear, vague manner, and the overall the reading is very dry. Examples are real-world, but all the in-text citations really distract from the problem, and most of the examples are beyond droll anyway. It feels like the simplest of concepts are eluding you, and that an effective writer/teacher would make everything click without nearly as much effort as this book uses. If you have to buy it, then good luck.

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