The Tao of Statistics: A Path to Understanding (With No Math) (Paperback)Dana K. Keller (author)
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This book provides a new approach to statistics in plain English, and walks readers through basic concepts, as well as some of the most complex statistical models in use.
The Second Edition contains new chapters on "big data" on the one hand, and on small data situations at the other end of the spectrum; on missing data; and on effect sizes. The two "characters" in the text (a high school principal, and a director of public health) return in the Second Edition, and their needs to make sense of the data available to them have been updated with reference to contemporary concerns in the fields of education and health.
Publisher: SAGE Publications Inc
Number of pages: 192
Weight: 270 g
Dimensions: 215 x 139 x 11 mm
Edition: 2nd Revised edition
"The Tao of Statistics: A Path to Understanding (With No Math) appears in its second edition to provide a user-friendly guide to statistics that explains what they mean, with a difference - there's no math involved. Most books are loaded with formulas; this is loaded with explanation. The basic concepts are covered with attention to how and why they are applied, offering important keys to understanding. This second edition adds new coverage of 'big data' and its impact and concepts, material contrasting it with 'small data', and discussions on missing data and more. The result is a pick for any interested in more than math formulas." -- The California Bookwatch
"'For most people, the concept of statistics begins as a shadowy mathematical nightmare....' The author opens his introduction to the second edition with these words, and undoubtedly many engaged in statistical research would agree. Unfortunately, these persons sometimes find themselves gathering, processing, and interpreting data with a great sense of discomfort as they blindly follow a mathematical procedure without really understanding what the results actually mean. Keller (president, Halcyon Research, Inc.) clearly has this audience in mind. Purists may be startled by a statistics book without numbers, graphs, or formulas, but they should appreciate Keller's brief, insightful discussions designed to clarify each of his fifty topics. Especially helpful are illustrations of how a high school principal, a public health director, or a sociologist might use the concept at hand. In some cases the author even explains why these individuals might not need a particular procedure at all, a refreshingly honest approach that reflects his sense of tao. Of course, statistics without graphs or data is not realistic, but the user of statistics has to have a basic understanding of what is being accomplished and, in that sense, the author has definitely succeeded." -- N. W. Schillow, Lehigh Carbon Community College