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Probability and Statistics for Engineering and the Sciences, by Jay L. Devore
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Put statistical theories into practice with PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9th Edition. Always a favorite with statistics students, this calculus-based text offers a comprehensive introduction to probability and statistics while demonstrating how professionals apply concepts, models, and methodologies in today's engineering and scientific careers. Jay Devore, an award-winning professor and internationally recognized author and statistician, emphasizes authentic problem scenarios in a multitude of examples and exercises, many of which involve real data, to show how statistics makes sense of the world. Mathematical development and derivations are kept to a minimum. The book also includes output, graphics, and screen shots from various statistical software packages to give you a solid perspective of statistics in action. A Student Solutions Manual, which includes worked-out solutions to almost all the odd-numbered exercises in the book, is available.
- Sales Rank: #5675 in Books
- Published on: 2015-01-01
- Original language: English
- Number of items: 1
- Dimensions: 10.50" h x 8.50" w x 1.25" l, .0 pounds
- Binding: Hardcover
- 792 pages
Review
"This text has a great number of examples and exercises that are of high quality. Students enjoy doing the real world problems. I believe this is the text's greatest strength."
"The strengths are the material coverage (i.e. topics covered) and the engineering focus. I would describe this text as a reliable classic."
About the Author
Jay Devore is Professor Emeritus of Statistics at California Polytechnic State University, San Luis Obispo. 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 Cal Poly SLO Statistics Department. In addition to this book, Jay has written several other widely used 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, a high school teacher in New York City.
Most helpful customer reviews
1 of 1 people found the following review helpful.
It has satisfied almost every single question I have run into regarding ...
By ThatOtherOne
I was assigned an earlier edition of this book as an engineering statistics textbook in 1984. I used it in my profession as my go-to statistics reference until it was dog-eared and spine-broken, then I bought the 5th edition, which is now likewise nearing the end of its functional life, so soon I'll buy another. It has satisfied almost every single question I have run into regarding stats with simple, easy to understand instructions and theory and good examples. I can't recommend it highly enough as a professional reference book. I wasn't particularly wowed by it as a student, but that is because I didn't know any better at the time.
9 of 13 people found the following review helpful.
Absolute worst textbook
By Joshua G Bettigole
I am certain this book was not meant for engineering students. Everything in this book is written as if the reader already has mastered statistics and probability. There is little to no explanation on any of the topics, and I've encountered a number of end-of-unit questions that have no corresponding lesson or example. I have never felt this confused in my life!
If you're stuck with a class that requires this book:
1) Your instructor has probably been paid kickbacks by the publisher.
2) Your instructor likely doesn't care if you understand the material, or if you even pass the class.
3) Your instructor probably doesn't do very favorably on ratemyprofessor.com
If you're in an online class that requires this book:
1) Consider changing your major
Khan Academy will save you hours of frustration when you're trying to complete homework and study for exams. This has been the only thing that has even remotely helped me through the first 3 chapters.
0 of 0 people found the following review helpful.
lacks intuition, but good for practicing
By Arun Mahendrakar
This is a big book covering many topics like Probability, distributions, ANOVA and correlation. There are quite a few problems to solve that will help you strengthen your learning. But this book lacks explaining the concept. The author directly dives into the formula and it's usage. Detailing how to intuitively think about say, regression, will make this book really worthwhile.
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