| ## Probability and Statistics for Engineering and the Sciences |

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Average customer review:(164 customer reviews)

## Book Description

This comprehensive introduction to probability and statistics will give you the solid grounding you need no matter what your engineering specialty. Through the use of lively and realistic examples, the author helps you go beyond simply learning about statistics--you'll also learn how to put the statistical methods to use. In addition, rather than focusing on rigorous mathematical development and potentially overwhelming derivations, *Probability and Statistics for Engineering and the Sciences* emphasizes concepts, models, methodology, and applications that facilitate your understanding.

## About This Edition

This market-leading text provides a comprehensive introduction to probability and statistics for engineering students in all specialties. Proven, accurate, and lauded for its excellent examples, *Probability and Statistics for Engineering and the Sciences* evidences Jay Devore's reputation as an outstanding author and leader in the academic community. Devore emphasizes concepts, models, methodology, and applications as opposed to rigorous mathematical development and derivations. Aided by his lively and realistic examples, students go beyond simply learning about statistics; they also learn how to put statistical methods to use.

### New Features

- More than 40 new examples and 100 new problems were carefully researched and written using the most up-to-date real data.
- Chapter 1, "Overview and Descriptive Statistics," contains a new subsection, "The Scope of Modern Statistics," which describes and exemplifies how statistics is used in modern disciplines.
- A significantly revised and simplified Chapter 8, "Tests of Hypotheses Based on a Single Sample," also has a new subsection entitled "More on Interpreting P-values."
- Wherever possible throughout the book, the language has been tightened and simplified to improve clarity.

### Additional Features

- "Simulation Experiments" help students gain an understanding of sampling distributions and the insight they provide, especially when a derivation is too complex to carry out.
- Strong computer coverage, especially with ANOVA and regression, is supported by an abundance of computer output from SAS
^{®}and MINITAB^{®}and coverage of computer methods. Inclusion of Java^{TM}Applets from Gary McClelland's*Seeing Statistics*, specifically designed for this calculus-based text, allows students to experience statistics firsthand. - Sample exams help students build confidence and master concepts prior to taking class exams; the glossary of symbols/acronyms, which includes text page references, is another useful study aid.
- Several exercises refer to material covered in earlier sections and chapters, allowing students to more easily see the connections between concepts.
- Virtually every example and exercise has a real-world context. Real data in exercises and examples stimulate students' interest and enhance their comprehension of concepts.
- Notable content includes a strong emphasis on the role that variation plays in statistics, emphasis on the nature of variation in the slope estimate in simple linear regression, and inclusion of a detailed description of pooled t procedures to provide a balance between un-pooled and pooled analyses.

### See this title's supplement:

Student Solutions Manual for Devore's Probability and Statistics for Engineering and the Sciences,### Book Details

- Amazon Sales Rank: #5889 in Books
- Brand: Brand: Cengage Learning
- Published on: 2011-01-01
- Original language: English
- Number of items: 1
- Dimensions: 1.40" h x 8.00" w x 10.10" l, 3.30 pounds
- Binding: Hardcover
- 768 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 Cal Poly Statistics Department. In addition to this book, Jay has written several other widely used statistics texts for engineers and scientists 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 Brooklyn.

## Customer Reviews

Most helpful customer reviews

4 of 4 people found the following review helpful.

P(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.

Great 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.

Blegh

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.