Probability and Statistics for Engineering and the Sciences

We only used the first 4 chapter for this course. Most of the examples are good. The book assumes some prior knowledge of math and statistics but other than that is good.

Being a non-math or stats major, I found this book to be fair and sufficient in its explanations and requirements. The other stats books I've seen have been overly difficult with unreasonably difficult problems that were never even touched upon in the examples. This book is for engineers and science majors, so I expected REAL examples and not just proofs and theorems that most of us engineers can't stand. One of the few textbooks that I won't use as a bedtime story and that's the best compliment you can give to a textbook.

It is na excellent book for all Sciences

As an Operations Research Manager I am constantly employing statistical models in my work. Having sat through numerous undergraduate and graduate classes in statistics and stochastic systems (queueing, reliability analysis, and quality control...to name a few), I find this book the most used statistical reference book in my library!By using real data, Jay shows us how the topics apply to our everyday life. I remember this approach when I took his class (10 years ago)! Now if Jay could write more books on stochastic models!

This book is chock full of examples which very cleanly illustrate each concept. Math books without examples are worthless in my opinion. There's answers to odd-numbered homework problems in the back, and there's plenty of graphical illustrations to show what is meant. Aside from my 101 Physics book, and Numerical Recipes, this book has got to be one of my most-used treasures.