Applied Statistics and Probability for Engineers

Rating:
Summary: Excellent Book
Review: As a Mechanical Engineering student, I never had a Probabilty/Statistics course in college. However, this book was very clear and easy to understand. I also liked the book because the examples and writing were from the perspective of real-world manufacturing/engineering examples. It seemed to cover every aspect of statistics. The examples and exercises were very helpful, as well. Unfortunately, our class could only cover about 6 chapters, so I wasn't able to learn more topics. However, the book peaked my interest in the topic and I may someday like to take another class on the topic. The book also seems like it will be a valuable reference when I am working in the engineering field and may need to do statistical analysis. I would recommend it to anyone taking a statistics course.

Rating:
Summary: Yes, engineers can learn statistics!
Review: Engineers always think Statistics as a science of dice and coins, and tend to simplify the analysis of random results with means and standard deviations. "Applied Statistics and Probability for Engineers" shows how this important science can help engineers to develop and improve processes and products. The text is clear and comprehensive covering from basic probability to statistical quality control. The examples and exercises represent practical problems and interesting case studies of engineering and experimental design.

Rating:
Summary: Worst book ever
Review: I have never seen as many mistakes in any other college level textbook in my life. The authors are so lazy, the end of section questions refer to tables and information which you have to flip backwards 50 or 75 pages to find the example they are referring to. The could not come up with new examples of what. Definitely use Bean's book which uses many real world examples to illustrated ideas. This book is awful.

Rating:
Summary: a MUST for every working engineer
Review: I took this class during my 1st semester as an IOE student at Univ of Michigan. Back then I never had done any real applications of Stats before, so I basically chugged through the course. But now as a professional, working engineer, I realize what an awesome book this is!! It is a MUST as a reference tool for ALL engineers.. great examples as well. DON't sell this book back!!

Rating:
Summary: a MUST for every working engineer
Review: I took this class during my 1st semester as an IOE student at Univ of Michigan. Back then I never had done any real applications of Stats before, so I basically chugged through the course. But now as a professional, working engineer, I realize what an awesome book this is!! It is a MUST as a reference tool for ALL engineers.. great examples as well. DON't sell this book back!!

Rating:
Summary: There are so many mistakes...so many
Review: There are quite a few unforgivable mistakes...They highlight one of the most important formulas on a page and the formula is WRONG... The answers at the end of the book are so wrong that will confuse you. The authers should proofread the book much more carefully.

Rating:
Summary: Worst book ever
Review: This book has the potential to be good but I've already uncovered about 20 mistakes during 2 weeks of extremely light use. There are numerous problems that are set up so that the answers are insane (Z > 9 problem 7-42). I think the publisher should fire whoever proofed this book. Don't waste your money, get Walpole and Myers instead for an introductory text.

Rating:
Summary: Riddled with Errors
Review: This book has the potential to be good but I've already uncovered about 20 mistakes during 2 weeks of extremely light use. There are numerous problems that are set up so that the answers are insane (Z > 9 problem 7-42). I think the publisher should fire whoever proofed this book. Don't waste your money, get Walpole and Myers instead for an introductory text.

Rating:
Summary: No excuse for all the errors
Review: This could be a valuable text with lots of practice questions. But any good qualities are totally overshadowed by its numerous errors. If you are forced to use this book for a class, be sure to find the errata listings on its associated web page early in the semester.

Rating:
Summary: There are so many mistakes...so many
Review: This is an excellent reference work, though, as a text is is inadequate. I found that several of the answers in the back are incorrect and often the practice questions rely too much "refer to problem 8-16." The explanations are somewhat hard to follow as is the practice of placing figures some distance away from the related text. This is a Wiley book so it is over-priced, but what are you going to do?