The Tao of Statistics

A Path to Understanding (With No Math)

Nonfiction, Reference & Language, Reference, Research, Social & Cultural Studies, Social Science
Cover of the book The Tao of Statistics by Dr. Dana K. Keller, SAGE Publications
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Author: Dr. Dana K. Keller ISBN: 9781483377940
Publisher: SAGE Publications Publication: February 16, 2015
Imprint: SAGE Publications, Inc Language: English
Author: Dr. Dana K. Keller
ISBN: 9781483377940
Publisher: SAGE Publications
Publication: February 16, 2015
Imprint: SAGE Publications, Inc
Language: English

This Second Edition of Dana K. Keller’s The Tao of Statistics: A Path to Understanding (With No Math) provides a reader-friendly approach to statistics in plain English. Unlike other statistics books, this text explains what statistics mean and how they are used, rather than how to calculate them. The book walks readers through basic concepts as well as some of the most complex statistical models in use. The Second Edition adds coverage of big data to better address its impact on p-values and other key concepts; material on small data to show readers how to handle data with fewer data points than optimal; and other new topics like missing data and effect sizes. The book’s two characters (a high school principal and a director of public health) return in the revised edition, with their examples expanded and updated with reference to contemporary concerns in the fields of education and health.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This Second Edition of Dana K. Keller’s The Tao of Statistics: A Path to Understanding (With No Math) provides a reader-friendly approach to statistics in plain English. Unlike other statistics books, this text explains what statistics mean and how they are used, rather than how to calculate them. The book walks readers through basic concepts as well as some of the most complex statistical models in use. The Second Edition adds coverage of big data to better address its impact on p-values and other key concepts; material on small data to show readers how to handle data with fewer data points than optimal; and other new topics like missing data and effect sizes. The book’s two characters (a high school principal and a director of public health) return in the revised edition, with their examples expanded and updated with reference to contemporary concerns in the fields of education and health.

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