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Foundations and Applications of Statistics: An Introduction Using R (Pure and Applied Undergraduate Texts) Hardcover – April 27, 2011

ISBN-13: 978-0821852330 ISBN-10: 0821852337

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Product Details

  • Series: Pure and Applied Undergraduate Texts
  • Hardcover: 615 pages
  • Publisher: American Mathematical Society (April 27, 2011)
  • Language: English
  • ISBN-10: 0821852337
  • ISBN-13: 978-0821852330
  • Product Dimensions: 1.2 x 7 x 10 inches
  • Shipping Weight: 2.8 pounds (View shipping rates and policies)
  • Average Customer Review: 2.7 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #163,774 in Books (See Top 100 in Books)

Customer Reviews

2.7 out of 5 stars
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5 of 6 people found the following review helpful By Hongyang on November 4, 2013
Format: Hardcover
I use this book for a statistics course in college. Learning statistics with this book is simply frustrating. The way it explains things is to throw at you definitions and go directly from there to arrive at corollaries and theorems. The problem is it does not even explain what the concept is. It would define something as the result of an equation without even bothering to explicate the intuition behind the mathematical symbol. That not only makes the book extremely uninteresting but creates difficulties for comprehension.
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1 of 1 people found the following review helpful By Jimmy on July 16, 2014
Format: Hardcover Verified Purchase
Terrible book to follow along. Extremely confusing.
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0 of 1 people found the following review helpful By Graham D. Peterson on March 15, 2014
Format: Hardcover Verified Purchase
Statistics courses tend to bifurcate into two tracks -- extremely applied treatments for engineering, biological, and some social science students -- and quite sophisticated treatments for mathematics and statistics students. This book falls between those tracks, and is really remarkable in doing so. All proofs are thoroughly motivated, with the intuition of them stressed. Derivations assume an intermediate proof writing ability (advanced and well endowed mathematics students will find them pedantic, I'm sure). The exercises are quite challenging, but not in a way that many texts are, in that they assume written material has been understood with great depth, and then challenge readers to interesting cases and extensions of that material. Those sorts of exercises exist in the text, but more traditional cookbook style exercises obtain as well to walk readers into the material. This is one of the best statistics texts I have ever read.
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