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Statistics for People Who (Think They) Hate Statistics
 
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Statistics for People Who (Think They) Hate Statistics [Hardcover]

Neil J. Salkind (Author)
4.5 out of 5 stars  See all reviews (2 customer reviews)


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Book Description

0761916210 978-0761916215 April 11, 2000 1

Written for people who want to learn or brush-up on the basics of statistics but question their abilities, this book offers a step-by-step introduction to the topic. The book begins with an introduction to the language of statistics and then covers descriptive statistics and inferential statistics. Throughout, the author offers readers:

- Difficulty Rating Index for each chapter's material

- Tips for doing and thinking about a statistical technique

- Top tens for everything from the best ways to create a graph to the most effective techniques for data collection

- Steps that break techniques down into a clear sequence of procedures

- SPSS tips for executing each major statistical technique

- Practice exercises at the end of each chapter, followed by worked out solutions.

The book concludes with a statistical software sampler and a description of the best Internet sites for statistical information and data resources. Readers also have access to a website for downloading data that they can use to practice additional exercises from the book. Students and researchers will appreciate the book’s unhurried pace and thorough, friendly presentation.



Editorial Reviews

Review

"This book speaks to students!" 

(Lewis H. Margolis )

"A well written, well organized and understandable introduction to statistical reasoning, use, and what meaning they may have… the reader will have a much better grasp of statistics and a better ability to consume social science research."

(Ralph Underwager, Institute for Psychological Therapies )

"As a well written, well organized, and understandable introduction to statistical reasoning, use and what meaning they may have, the reader will gain a much better grasp of statistics and have better ability to consume social science research." (Ralph Underwager )

About the Author

Neil J. Salkind is Professor Emeritus at the University of Kansas where he taught in the Department of Educational Psychology for more than 35 years. His interest is in writing about statistics and research methods in an informative, non-intimidating and non-condescending way and is also the author of Statistics for People Who (Think They) Hate Statistics, Statistics for People Who (Think They) Hate Statistics (the Excel Edition), Excel Statistics: A Quick Guide, Encyclopedia of Research Design, and 100 Questions (and Answers) about Research Methods, all with SAGE.

Product Details

  • Hardcover: 408 pages
  • Publisher: Sage Publications, Inc; 1 edition (April 11, 2000)
  • Language: English
  • ISBN-10: 0761916210
  • ISBN-13: 978-0761916215
  • Product Dimensions: 9 x 6 x 1 inches
  • Shipping Weight: 1.4 pounds
  • Average Customer Review: 4.5 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #494,267 in Books (See Top 100 in Books)

 

Customer Reviews

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Average Customer Review
4.5 out of 5 stars (2 customer reviews)
 
 
 
 
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76 of 78 people found the following review helpful:
4.0 out of 5 stars Very helpful BUT...., April 30, 2002
This book was great at explaining the principles behind the math. However-- THERE WERE HUGE MISTAKES!!! The formula for the correlation coefficient for example, had a misplaced parenthetical that changed the formula. As a rookie in this area I was in tears trying to figure out my homework. This was not the only error, but it certainly was the worst!!!

Otherwise, the examples make it easy to understand the concepts of statistics, and certainly made it so I was able to ace the course. I just wish it hadn't had so many errors.

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33 of 35 people found the following review helpful:
5.0 out of 5 stars At last...a book that students can follow!, May 14, 2001
By A Customer
This is an easy to follow, well written book that students find useful. I have used it for teaching undergraduate research and statistics and as a supplement for graduate level research. It is written on a level so that almost all students can follow it and it provides excellent examples.
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