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John E. Freund's Mathematical Statistics with Applications (7th Edition),   ISBN:9780131427068

     
  John E. Freund's Mathematical Statistics with Applications (7th Edition)

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Binding: Hardcover
Release Date: October 2003
Edition: 7
List Price: $138.67

Average Customer Rating:
Score = 2.5 Score = 2.5 Score = 2.5 Score = 2.5 Score = 2.5

ISBN-13: 9780131427068
ISBN-10: 0131427067
Author: Irwin Miller, Marylees Miller
Publisher: Prentice Hall
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Summaries and Customer Reviews are supplied by Amazon.com

Summary:

This classic, calculus-based introduction to the theory and application of statistics provides an unusually comprehensive depth and breadth of coverage and reflects the latest in statistical thinking and current practices. New to this edition is the addition of an applications section at the end of each chapter that deals with the theory presented. Further emphasis has been placed on the use of computers in performing statistical calculations. Topics covered include probability distributions and densities, random variables, sampling distributions, hypothesis testing, regression and correlation, variance, and more. An excellent reference work for professional statisticians in a variety of fields.

Customer Reviews:

Average Customer Rating: Score = 2.5 Score = 2.5 Score = 2.5 Score = 2.5 Score = 2.5

Thanks a lot
Customer Rating:  Score = 5 Score = 5 Score = 5 Score = 5 Score = 5

I need to thank this supplier becasue I had failed three times when I tried to buy this book online.
It was shipped fast and delivered fast. Appreciate it.

Not enough Pictures
Customer Rating:  Score = 2 Score = 2 Score = 2 Score = 2 Score = 2

Yes, even at the collegiate level, pictures are needed. The example problems rarely drew the diagrams/pictures. Also many of the problems refer back to previous examples in different chapters. For example, a problem in Ch 7 has us take the information for a problem in chapter 3; without a corresponding page number. Also the lay out of book is very compact. I wish the authors did not squeeze so much information on one page. The could have used more space, showed much more algebra steps, and MORE DIAGRAMS.

Avoid
Customer Rating:  Score = 1 Score = 1 Score = 1 Score = 1 Score = 1

I'm taking a course in statistics as an independent study using this book. It might have been better had I been taking a class with a professor helping me understand the problems, but trying to understand with just this book is next to impossible. The examples skip steps, which I suppose I am just suppose to know, with no explanation or note that there have been operations omitted. This is very confusing. I have been teaching math for 34 years and feel I can follow the flow of a problem, but I teach my students to include everything to make sure their work is understood. Even the examples that are worked out sometimes have little to do with the problems that you are asked to solve. All in all, I feel this book is not well written for someone trying to learn these processes.

Terrible Book
Customer Rating:  Score = 1 Score = 1 Score = 1 Score = 1 Score = 1

This book deserves NO stars. I used it for a class and it must be the worst textbook I've ever seen. Its descriptions are cryptic and designed for PH.D's at best. If you expect to learn on your own from this book, give up. I tried because my prof didn't know english. i failed. For the record I'm a 4.0 student at MIT, so when I say this book is a terrible book, I'm not just randomly spouting.

A solid text.
Customer Rating:  Score = 4 Score = 4 Score = 4 Score = 4 Score = 4

Contrary to what many of the other reviewers think, I found this book to be very readable. I think that many textbooks a far too wordy. When one example is sufficient to clarify a concept more examples only serve to clutter the exposition. In that respect this book is excellent.
Some of my classmates have complained that the book does not give an adequate explanation as to how one should go about setting up the region for an iterated integral involving a multivariate probability distribution. I quickly noticed that everything that was supposedly lacking is in fact covered in just about any multivariable calculus textbook. This is a book for persons with good mathematical aptitude. I'd say that probability and mathematical statistics as a whole is for people with good mathematical aptitude. If you white-knuckled your way through calculus 2 then you will struggle with this book, but that is not the author's fault. Having done well in linear algebra is a good sign that you have the capacity to learn from this book.
I did not give the book five stars because I felt that some of the answers for the exercises are not particularly illuminating.

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