Probability & Statistics for Engineers & Scientists

This book is great if you have no knowledge about Statistics and Probability. It clearly explains ideas and after every new theorem it includes many solved examples. The only thing i am unhappy with this book is it doesn't have solutions of end of chapter exercises but you can still buy solution's manual if you want.

this comment refers to the previous edition of the walpole textbook solutions manual, not the most recent edition (2007?). it has been helpful. especially when the problems require the combination of 2 different probability distributions. most problems i've been assigned have been straightforward. but when you're stuck, and it's an odd problem, seeing how it's done can be very helpful.

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.

This book was my battlehorse when I was an Engineer Industrial student in the eighties . Stiil I bought the second Edition , this one has a visible quality above the others . His nice presentation , the increased level of difficult in every chapter . Useful for those Enginnering students , Pharmace, Administration in Pre Grade and Post Grade students .

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.