Great to reach an understanding | Fundamentals of Behavioral Statistics

Statistics | Fundamentals of Behavioral Statistics | Richard P. Runyon, Kay A Coleman, ...

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	• Fundamentals of Behavioral Statistics Richard P. Runyon, Kay A Coleman, ... McGraw-Hill Humanities/Social Sciences/Languages, 1999 - 656 pages average customer review:based on 3 reviews view larger image
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Really good

A unique introductory book in statistics. The hallmark of this book is nodoubt the clarity of detailed explanations of fundamental statistical concepts. A lot of invaluable material and explanantions here not to be found in other textbooks on statistics!
Highlights that spring to my mind are the excellent treatments of averages, correlation and regression, and hypothesis testing. A very important topic (usually missing in most textbooks) is the strength of evidence in hypothesis and significiance testing and is treated very nicely in various parts of the books. This book should not be missed by beginners (and probably experts) in the field.

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Great to reach an understanding

Great for those trying to get the basic understanding of behavioral statistics. The wording is very plain and easy to understand, yet they also don't ramble. The index works well, and the appendices are highly useful.

Statistics

I am using this book for an online graduate statistics course, so there is little direction from a formal instructor. All of my information so far is from this book. It is easy to read and the examples are easy to follow. I would recommend this book to anyone who is beginning the journey into statistics...very helpful

A proven performer designed for today?s psychology students, Fundamentals of Behavioral Statistics combines current thinking with a clear presentation designed to foster complete student understanding. A classic text that features a modern, student-oriented approach to studying behavioral statistics with an emphasis on accessibility and comprehensiveness, it is built on four tenants of success: a strong mathematical foundation, clear and interesting examples, rich illustrations and abundant exercises. The revision will continue to place great emphasis on introducing students to exploratory data analytic techniques by replacing outdated techniques with the latest, most up to date methods. Real life examples, used to present the most current approaches to teaching statistics, will be revised to incorporate results from popular and familiar experiments.

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