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Statistical Thinking, a Structural Approach
  
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Statistical Thinking, a Structural Approach [Paperback]

JR. JOHN L. PHILLIPS (Author)
5.0 out of 5 stars  See all reviews (1 customer review)


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Book Description

1982
This text uses only fundamental mathematics to teach students to think quantitatively while sparing them arduous arthmetic manipulations. The author empphasizes logical thinking and common sense, presenting concrete images to guide the student easily through an otherwise rigorous field of study. Mr Phillips is on the faculity at Boise State University.


Product Details

  • Paperback: 181 pages
  • Publisher: W.H. Freeman & Company; 2ND EDITION edition (1982)
  • Language: English
  • ISBN-10: 0716713802
  • ISBN-13: 978-0716713807
  • Product Dimensions: 9.1 x 5.9 x 0.4 inches
  • Shipping Weight: 8.8 ounces
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #1,034,537 in Books (See Top 100 in Books)

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3 of 3 people found the following review helpful:
5.0 out of 5 stars Conceptual Introduction, June 6, 2003
This book does not teach you how to "do" statistics, which would mean doing a lot of mathematical manipulations and handling formulas and checking tables, etc. Rather, this book is about what needs to be understood to use statistics effectively, what statistics is about. Come to think of it, this makes a lot of sense, because today, we have lots of aids to do the manipulations for us. We don't really need to know the formula for computing stadard deviation, when Excel can do it for us, with a few clicks of the mouse.

The book reads sequentially. Each chapter assumes the reader has a firm grasp of the preceding ones. So, if you do not have the time to read a book sequentially, this book is probably not for you. This book does not assume that you'll already have known something about statistics. It starts more or less from scratch. It is consistent all along focussing only on the whats and the why's of statistics, rather the painful and tedious how's.

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