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Other reviews have said all the problems. The book, the solutions manual, the accompanied online homework all of the are loaded with errors, numerical and grammatical. Also the accompanied home has an awkward user interface and is not very well thought through. Also the questions you answer have several answers per submission so if you get 1 out of 8 wrong the whole question is wrong. On top of all the answers the book is uninformative. I understand that some of this material is a little complex but if you read through a section and don't know what to do when you reach the questions, there's a problem. Also, some of the questions require you to use formulas that ARE NOT IN THE BOOK. For many questions i had to used google to find the formula. It's disgusting how much this book costs because its not worth it weight in ANYTHING. Too bad zero 0 stars is not possible.
IF YOU ARE A TEACHER THINKING OF WHAT BOOK TO USE TO DO NOT SUBJECT YOUR STUDENTS TO THIS TRASH!
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There is a very long list of introductory statistics textbooks, mainly because this is a required subject for many different undergraduate courses. Publishers usually target specific audiences (students in Engineering, Social Sciences, Psychology, Economy, etc.). I have worked with many different introductory stats textbooks and I still keep Montgomery and Runger's volume as my top choice *for engineers* (this is an important remark).
My reasons for this very positive review:
* The authors undertake a good mathematical treatment of most of the topics included, without sacrificing readability and clarity. Engineering students are supposed to have at least some competency in linear algebra and calculus, and this is enough to follow this text.
* The book covers all necessary introductory statistics topics for engineers, including univariate and joint probability distributions, sampling, statistical inference, simple and multiple linear regression as well as ANOVA and experiments with multiple factors. Admitedly, I think that Chapter 6 about sampling and descriptive statistics should have been expanded to include other popular EDA graphs and techniques, but overall I think the book offers a good balance between width and depth of coverage.
* Authors also put strong emphasis in warning against common pitfalls and misunderstandings, not only explaining the failure but also the reasons to understand why that is incorrect. One of my favourite examples is the explanation of why the sample variance must be divided by "n-1" instead of "n", since this point is badly missing in many other introductory texts and students usually get confused about it.
* The content is exemplary well organized.Read more ›
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Required text for course. I began course without hard copy text and rented the Kindle version to complete early assignments. I downloaded Kindle reader for my PC (free) as text would not display on my Kindle device. Kindle version of text was functional providing me with access to all material I required for the course before I received the hard copy edition, Job well done in generating the Kindle version.
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I had to use this textbook for a statistics class taught by my chemical engineering department. It is unnecessarily wordy, and does not explain concepts well at all. If you have the misfortune of being assigned this textbook and actually want to learn something, I would recommend looking for a supplementary textbook. I can't imagine any math department using such a crap textbook. Sigh... engineering....
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Too many errors in this book. It is hard enough just trying to figure out what the chapter questions are asking then find out due to poor proof reading, the question is not answerable. Needs to be edited and proof read in next edition.
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This is best statistic book I have ever used in UC Davis. Although the materials presents are somewhat complicated, I still manage to finish studying it. Secondly, this shipment was delivered on-time and good quality. I was able to resale in the school book store for half price. :)
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This item: Applied Statistics and Probability for Engineers
