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Engineering Statistics Paperback – 9 December 2011

4.2 out of 5 stars 71
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* Montgomery, Runger, and Hubele provide modern coverage of engineering statistics, focusing on how statistical tools are integrated into the engineering problem-solving process.
Previous page
  1. Print length
    544 pages
  2. Language
    English
  3. Publisher
    John Wiley & Sons Inc
  4. Publication date
    9 December 2011
  5. Dimensions
    20.07 x 1.52 x 25.15 cm
  6. ISBN-10
    0470646071
  7. ISBN-13
    978-0470646076
  8. See all details
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Product details

  • Publisher ‏ : ‎ John Wiley & Sons Inc; 5th edition (9 December 2011)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 544 pages
  • ISBN-10 ‏ : ‎ 0470646071
  • ISBN-13 ‏ : ‎ 978-0470646076
  • Dimensions ‏ : ‎ 20.07 x 1.52 x 25.15 cm
  • Customer Reviews:
    4.2 out of 5 stars 71

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  1. Douglas C. Montgomery

    Douglas C. Montgomery

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    George C. Runger

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4.2 out of 5 stars
4.2 out of 5
71 global ratings

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Rehab Beshr
3.0 out of 5 stars not easy
Reviewed in Canada on 22 February 2014
Verified Purchase
i found this book somehow not easy to understand it needs strong statistics background . i m trying to get benefit from the book in my course it helps in providing more practices problem but you need the solution book too
i don't recommend this book for anyone starting to understand engineering statistics it needs more advanced level
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eliteMET
5.0 out of 5 stars Book was in excellent condition
Reviewed in the United States on 19 September 2011
Verified Purchase
Book came to me fast and was in perfect shape as it said. I can't really talk much about the contents of the book as of yet because my class hasn't gone over much of it yet.
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jonathan edgington
4.0 out of 5 stars Great book choice
Reviewed in the United States on 10 January 2015
Verified Purchase
This book is great for any engineer that wishes to get firm understanding of statistics. As a student in engineering this book will continue to be with me long after I graduate to assist with understanding and as reference resource to find and use other statistical formulations with data collections and resultants.
One person found this helpful
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Stephanie Lueders
5.0 out of 5 stars Great Stats Book
Reviewed in the United States on 14 January 2013
Verified Purchase
This book provides many examples and is very intuitive. I think it is useful for all people and was a great beginning book
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SpeedReader
3.0 out of 5 stars A pretty standard textbook
Reviewed in the United States on 4 November 2022
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This is basically a statistics textbook with examples and problems that are geared more toward engineering contexts than what you would see in a statistics class in a pure math curriculum. Like many textbooks, it falls into the trap of giving you the basic theory for the various concepts and showing you a couple of easier examples, then giving you a problem set with a bunch of problems that are harder than the examples in the chapter. Many of the problems require the use of statistical software (in my class we used MiniTab), but the book is not really keyed to any particular software program and as a result, does not give anything more than basic instructions about how to approach those kinds of problems.

Overall, I would say the book is okay, but not great. To be honest I hated stats in general and had to really grit my teeth to get through it. I would not say that this is something you can easily teach yourself from. It explains some concepts well, but others, not so much. For example, I never did understand ANOVA no matter how many times I read the chapter text. Most people are going to get this because it is required for a class they are taking, in which case you are going to have to get it regardless. If you are looking for something to learn stats from I would definitely look for a non-textbook study aid.
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