Applied Statistics for Engineers and Physical Scientists (3rd Edition) 3rd Edition

16 customer reviews
ISBN-13: 978-0136017981
ISBN-10: 0136017983
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Editorial Reviews

From the Publisher

Written by two of the leading figures in statistics, this highly regarded volume thoroughly addresses the full range of required topics. --This text refers to an out of print or unavailable edition of this title.

From the Back Cover

This hugely anticipated revision has held true to its core strengths, while bringing the book fully up to date with modern engineering statistics. Written by two leading statisticians,Statistics for Engineers and Physical Scientists,3/e,provides the necessary bridge between basic statistical theory and interesting applications. Readers solve the same problems that engineers and scientists face, and have the opportunity to analyze real data sets. Larger-scale projects are a unique feature of this book, which let readers analyze and interpret real data, while also encouraging them to conduct their own studies and compare approaches and results. This book assumes a calculus background. Collection and Analysis of Information; Probability Models and Discrete Distributions; Continuous Probability Models; Statistical Inference: Sampling Distribution, Confidence Intervals, and Tests of Hypotheses; Statistical Process Control; Experiments with One Factor; Experiments with Two or More Factors; Regression Analysis. For all readers interested in applied statistics.

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Product Details

  • Paperback: 608 pages
  • Publisher: Pearson; 3rd edition (January 7, 2009)
  • Language: English
  • ISBN-10: 0136017983
  • ISBN-13: 978-0136017981
  • Product Dimensions: 7 x 1.3 x 9.2 inches
  • Shipping Weight: 2.2 pounds (View shipping rates and policies)
  • Average Customer Review: 1.9 out of 5 stars  See all reviews (16 customer reviews)
  • Amazon Best Sellers Rank: #989,583 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

15 of 16 people found the following review helpful By Joshua P. Jung on September 19, 2010
Format: Paperback
Alright, a little background. I am an engineering student at UIC and am currently in the field of software engineering and have been for 5+ years. I've decided to go back to school to get the degree saying I know what I already know.

I consider myself fairly intelligent and got straight A's in Calculus 1,2,3 and Differential Equations so I was always good at math.

This book could not be more confusing:

1) Explanations and proofs are half-assed. Phrases like "It is easy to show..." are often insufficent. Like another review said, there is almost an underlying assumption that you already know the material the book is explaining.

2) Notation is often left unexplained or an explanation is half-hazardously thrown in as an after-thought. Forget ever being able to go back and sift through all the text to try and find those 10 words explaining the notation again as they are often hidden in a massive paragraph. I feel like every paragraph is written by a mildly presumptuous and assuming person. It's as if the entire attitude is a passive "you probably already know this so I won't explain it that well so we can move on..."

3) The book feels like it was written by an English major describing the story of statistics. I am constantly trying to find structure in the massive paragraph after paragraph. I'm trying to picture things mathematically and it never ceases to amaze me just how bad the explanations are.

3) Key equations are never highlighted in the book. Can't you put a freaking box around it and say "Important!" or "Standard Deviation"?
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7 of 8 people found the following review helpful By A Customer on April 1, 2002
Format: Paperback
This book was used as a text for an intro statistics class, and proved to be completely useless. First of all it fails to explain any of the information in terms understandable by the reader, and thus is useless to anyone who doesn't already know the material. Second, the examples it does provide (few as they are) show the simplest cases possible, that do not apply the information covered in that section. The examples, if a solution is provided (oftentimes they say in one sentence that the solution should be obvious to anyone, and don't provide a solution) skip steps and are generally confusing. In summary, this book should only be used if you already understand everything in it and I would thereby rate it as a pass, unless of course you are looking for a handbook or reference.
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1 of 1 people found the following review helpful By frank on June 24, 2012
Format: Kindle Edition
I hate that I am subjected to this book. It has hardly any examples and then expects you to know how to do homework problems that are way harder and completely different from the examples. UIC is truly foolish for using this book and it clearly shows how bought they are by the textbook oligopoly. Garbage
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2 of 3 people found the following review helpful By Michael on June 13, 2011
Format: Paperback Verified Purchase
This stats book is extremely good. I used it for my Statistics class in my Math minor.
It is very good at explaining equations and concepts and the example problems are very in depth.

A warning though:
It assumes in many places that you know how to use some sort of statistics software for some problems that require them. You can use R or a ti-83 calculator (although I recommend the ti-89 titanium, it has more advanced stats) to do alot of these functions. The book assumes you know what they are and doesn't give you much help. It has the appropriate look-up tables in the appendix so you can get away with doing alot of problems without software but it is also vague on the best way to do this.

Obviously this book is meant for a class with an instructor though, or for someone with previous knowledge in statistics, so I don't really see the lack of help on using software as a particularly bad thing, but I feel it should have been included.
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4 of 6 people found the following review helpful By George Hsu on March 14, 2004
Format: Paperback
I have studied one full year of probability theory on the level of Probability and Random Processes for Electrical Engineering by Leon-Garcia, but I have decided to read this book to enhance my statistical concepts. This book is easy to read; it gives an intuitive explanation on statisical concepts and then explain them in math (it does assume some knowledge in Calculus). It also has an emphasis on quality control/production that I found valueable. The sections I found useful are control charts, reliability, design of experiments, checking for normaility, confidence interval, etc. The drawbacks are that the important equations are not labeled with numbers so they don't stand out and that this is a 1992 book so it does not include more recent examples.
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Format: Paperback Verified Purchase
This book is pretty bad. It leaves out tons of information that you need to solve the problems in the book. I generally do not review textbooks because some books might be good for some people and bad for the others. Yet, this book is undeniably bad textbook for beginning statistics course.
The reason I chose 3 stars is because even though the book itself is bad, it can be a good reference book for advanced statisticians. It layouts a lot of statistics concepts. It just throws at you without any fundamental basics that you need to know. It is a good review book for advanced statisticians but a horrible book for you just started to learn statistics or beginning to learn applied statistics.
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