Summaries and Customer Reviews are supplied by Amazon.com

With its unique balance of theory and methodology, this classic text provides a rigorous introduction to basic probability theory and statistical inference, motivated by interesting, relevant applications. Offers extensively updated coverage, new problem sets, and chapter-ending material to enhance the book’s relevance to today’s engineers and scientists. Includes new problem sets demonstrating updated applications to engineering as well as biological, physical, and computer science. Emphasizes key ideas as well as the risks and hazards associated with practical application of the material. Includes new material on topics including: difference between discrete and continuous measurements; binary data; quartiles; importance of experimental design; “dummy” variables; rules for expectations and variances of linear functions; Poisson distribution; Weibull and lognormal distributions; central limit theorem, and data plotting. Introduces Bayesian statistics, including its applications to many fields.

For those interested in learning more about probability and statistics.

Average Customer Rating:

Student Solutions Manual for Probability & Statistics for Engineers & Scientists	Customer Rating:
This student solutions manual has been very handy in my class. I have used it for all of the homework and it has helped considerably.

It's ok	Customer Rating:
Pluses: - Fairly easy to understand Minuses: - Lack of hard examples to help you with the hard exercises - Odd problems (with solutions) tend to be easier than even problems

If you have a choice, don't buy it!!

Customer Rating:

I am very disappointed with this book, especially considering how much I paid for it... In particular, the book lacks good example problems (it lacks enough examples, period), and is somewhat unorganized. The authors do not explain how to use formulas very well, and they often skip steps and leave the reader bewildered. I also wish there were more answered problems for each chapter in order to test your knowledge more adequately. In combination with a poorly taught class, I have found the book to be ultimately unhelpful in my efforts to learn and apply statistics. If you're looking for independent study, or just a good stats book, this is definitely NOT the way to go.

A decent undergrad book on the subject

Customer Rating:

This is one of the better undergrad-level books on the subject, and the fact that it's now in it's 7th edition (as of this writing) shows that it's still in use in the halls of academia. My copy, if I remember correctly, is either a first or second edition. Unfortunately for me, I had a sub-par instructor (and a different text book) the first time I studied the material, and even though I got high marks in the class, I re-audited the class again, on my own time, with a different instructor, the following semester. The different instructor, and text book (this one), made a big difference, and really helped bring the material to life for me ... even though it cost me half of a perfectly good summer vacation to do it. Let's face it ... probability computations, permutations, and confidence intervals, can be a bit dry (and a hot classroom with no air conditioning didn't help matters), but Wadpole does a decent job of not only covering the material well. There are plenty of worse books on the material out there, trust me. This one's better than others I've seen.

It is ok, but ...

Customer Rating:

This is an OK book but too expensive for what it is. I learned a lot from the book. The excercises are good but the wording is sometimes confusing. You have the answers for "odd" exercises in the back of the book, but it looks like that the authors added new exercises in this edition and the answers are in the back of the book, therefore, you don't know if you got the right answer. You better read some other Basic Statistic book, before you using this book. Good for people that study Science or Engineering.