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Introduction to Probability and Statistics : Principles and Applications for Engineering and the Computing Sciences

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Title: Introduction to Probability and Statistics : Principles and Applications for Engineering and the Computing Sciences
by J. Susan Milton, Jesse C Arnold
ISBN: 0-07-246836-X
Publisher: McGraw-Hill Science/Engineering/Math
Pub. Date: 30 September, 2002
Format: Hardcover
Volumes: 1
List Price(USD): $143.45
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Average Customer Rating: 2.6 (5 reviews)

Customer Reviews

Rating: 5
Summary: Masterfully written
Comment: I've always found probability and statistics confusing (maybe that's because I was reading Devore's book), but it all seems to make perfect sense after reading this book. I am a professional educator, and I found that the concepts are developed beautifully, and ideas are tied together nicely. In particular, I found the treatment of the moment generating function especially impressive. There are numerous practical applications (albeit they are somewhat outdated) that are good for practice. I would recommend this book to any math major or actuarial student studying for test 1.

Rating: 1
Summary: This is the worst text I have ever used
Comment: I am a dean's list mathematics major and I couldn't follow this text at all. This is true because the book is poorly written in a very bland voice, the few examples are often difficult with little or nothing to do with common problems you will encounter, and as a whole, this book seems to assume that all of its readers have a solid background in statistics; the problem with that is this is used in introductory courses. Everything I learned in the class for which this text was required was from lectures, and I normally learn extremely well from text books. If you take a course that requires this text, either try to find another book or run (don't walk) to the good old drop and add department!

Rating: 1
Summary: This is the worst text I have ever used
Comment: I have always loved learning from books, especially math and science books, but this book is impossible. I am a math major with a previous course in statistics and the best use I have found for this text is to set my calculator on it. The examples and exercises are so wordy and written so poorly I have gained nothing from them. I actually think I'm a little dumber after I read from it. This book is written for a reader with an advanced background in statistics and even there, I think those readers would be wise to shop around. I strongly discourage anyone planning on using this book from doing so, just let me sell mine first!

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