Probability and Statistics for Engineers and Scientists (7th Edition) (Hardcover)

by Ronald E. Walpole (Author), Raymond H. Myers (Author), Sharon L. Myers (Author), Keying Ye (Author), Keying Yee (Author)

Editorial Reviews

Product Description
This classic book provides a rigorous introduction to basic probability theory and statistical inference that is motivated by interesting, relevant applications. It assumes readers have a background in calculus, and offers a unique balance of theory and methodology. Chapter topics cover an introduction to statistics and data analysis, probability, random variables and probability distributions, mathematical expectation, some discrete probability distributions, some continuous probability distributions, functions of random variables, fundamental sampling distributions and data descriptions, one- and two-sample estimation problems, one- and two-sample tests of hypotheses, simple linear regression and correlation, multiple linear regression and certain nonlinear regression models, one factor experiments: general, factorial experiments (two or more factors), 2k factorial experiments and fractions, nonparametric statistics, and statistical quality control. For individuals trying to apply statistical concepts to real-life, and analyze and interpret data.

From the Back Cover
This classic book provides a rigorous introduction to basic probability theory and statistical inference that is motivated by interesting, relevant applications. It assumes readers have a background in calculus, and offers a unique balance of theory and methodology. Chapter topics cover an introduction to statistics and data analysis, probability, random variables and probability distributions, mathematical expectation, some discrete probability distributions, some continuous probability distributions, functions of random variables, fundamental sampling distributions and data descriptions, one- and two-sample estimation problems, one- and two-sample tests of hypotheses, simple linear regression and correlation, multiple linear regression and certain nonlinear regression models, one factor experiments: general, factorial experiments (two or more factors), 2k factorial experiments and fractions, nonparametric statistics, and statistical quality control. For individuals trying to apply statistical concepts to real-life, and analyze and interpret data.

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Product Details

• Hardcover: 730 pages
• Publisher: Prentice Hall; 7 edition (January 2002)
• Language: English
• ISBN-10: 0130415294
• ISBN-13: 978-0130415295
• Product Dimensions: 11.7 x 6.7 x 1.3 inches
• Shipping Weight: 2.9 pounds
• Average Customer Review: 2.4 out of 5 stars See all reviews (25 customer reviews)
• Amazon.com Sales Rank: #522,397 in Books (See Bestsellers in Books)

Customer Reviews

Most Helpful Customer Reviews

14 of 16 people found the following review helpful:

1.0 out of 5 stars The book is BAD! :0(, March 20, 2000

By	Aslan Tomov (Illinois Institute of Technology, CS student) - See all my reviews

This review is from: Probability and Statistics for Engineers and Scientists (Hardcover)

I am a good student in math and like the subject very much. This semester I am taking "Probability and Statistics" and have to use this book for the course. In my opinion the textbook is bad. Not only it contains numerous mistakes in problems (which makes it useless as a reference material and almost impossible to use outside the classroom) but it also contains errors in some definitions and formulas. Its inaccuracies make the text look disrespectful towards mathematics! It kills all the wit and beauty of the subject. Instead of enjoying yet another fascinating journey into the realm of math I had to struggle with a swarm of silly typos.

6 of 6 people found the following review helpful:

4.0 out of 5 stars Engineering Specialist, March 24, 2006

By	T. Nguyen - See all my reviews (REAL NAME)

With an exception of Chapter 1, this book is well written, well organized with logical flow of subjects, and having practical example for every chapter's sub-topics. I found most of these examples are simple and very supportive for the understanding of mathematical expressions and that link the underline subject with real-world application. This book, in my opinion, is an excellent text for science and engineering students as well as for scientist or professional engineer who wants to achieve his or her self-study of the fundamentals of probability and statistics.

If Chapter 1 had provided a right level of abstract for an introduction of book's chapters and eliminated trivial / obvious errors (e.g. on pp. 9 and 10) in this chapter then, I believe, the reader's impression of the book would increase significantly.

8 of 9 people found the following review helpful:

4.0 out of 5 stars Worked a lot better for me than the others, April 14, 2004

By	hummuslover "hummuslover" (Columbia, Md United States) - See all my reviews

I thought this was a pretty good text for an introduction to statistics with a modicum of calculus (I used the 5th edition). I am a biologist and had taken statistics without calculus (VERY cookbook approach the first time through) so maybe knowing where the math was eventually taking me was the difference. I am very (brutally) applied in my interest in statistics (use it daily to model fish populations, estimate critter abundance, etc.) so I could see where I would not agree with the mathematician who said it killed the beauty of the subject (although I am not gifted enough in math to see the beauty of statistics; I honestly would like to be). Also I did cover the text in two classes (1st up through calculating a confidence interval, 2nd on the general linear model) so that may have made a difference as well - if the others were forced to march through all of the material in the book in 18 weeks. I notice that a lot of the reviewers are computer scientists (ones in my class hated the subject matter - I was not sure why it was a required course for them anyway) or mathematicians. Anyone else out there from the natural or physical sciences (e.g., biology, chemistry, geology) that had experience with this book? Finally - I don't recall the plethora of errata that the others refer to - although I had previously heard this complaint about earlier editions of this book.