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Probability and Statistics for Engineering and the Sciences
(168 customer reviews)
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.
- Amazon Sales Rank: #1804068 in Books
- Brand: Duxbury Pr
- Published on: 1999-12-09
- Original language: English
- Number of items: 1
- Dimensions: 9.75" h x 7.75" w x 1.25" l, 1.10 pounds
- Binding: Hardcover
- 750 pages
- Great product!
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.
Most helpful customer reviews
6 of 6 people found the following review helpful.
Great intro to probability and statistics.
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.
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.
0 of 0 people found the following review helpful.
Very dry and hard to understand
By Wrestling fan
This is the worst textbook I have ever read! It presents the material in a very complicated manner, hard to understand. Moreover, the language and the examples are so dry, it is hard to keep your eyes open when reading the book. The problems in the end of each chapter are so unlike one another that one has to go to the internet to find similar problems with solutions, and most problems are nothing like the examples presented in the chapters. Even for a person with extensive mathematical knowledge this book makes it impossible to learn the subject.