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Statistical Misconceptions: Classic Edition

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by Schuyler W. Huck
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Statistical Misconceptions: Classic Edition by Schuyler W. Huck

This engaging book helps readers identify and then discard 52 misconceptions about data and statistical summaries. The focus is on major concepts contained in typical undergraduate and graduate courses in statistics, research methods, or quantitative analysis. Interactive Internet exercises that further promote undoing the misconceptions are found on the book's website.

The author's accessible discussion of each misconception has five parts:

The Misconception - a brief description of the misunderstanding

Evidence that the Misconception Exists - examples and claimed prevalence

Why the Misconception is Dangerous - consequence of having the misunderstanding

Undoing the Misconception - how to think correctly about the concept

Internet Assignment - an interactive activity to help readers gain a firm grasp of the statistical concept and overcome the misconception.

The book's statistical misconceptions are grouped into 12 chapters that match the topics typically taught in introductory/intermediate courses. However, each of the 52 discussions is self-contained, thus allowing the misconceptions to be covered in any order without confusing the reader. Organized and presented in this manner, the book is an ideal supplement for any standard textbook.

An ideal supplement for undergraduate and graduate courses in statistics, research methods, or quantitative analysis taught in psychology, education, business, nursing, medicine, and the social sciences. The book also appeals to independent researchers interested in undoing their statistical misconceptions.

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Ebook Details
Pages: 318
Size: 4.5 MB
Publisher: Routledge
Date published:   2015
ISBN: 9781317311560 (PDF)

This product is listed in the following categories:

Nonfiction > Social Science > Statistics
Nonfiction > Psychology > Statistics
Nonfiction > Education > Statistics

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Nonfiction > Psychology
Nonfiction > Psychology > Statistics
Nonfiction > Education > Statistics
Nonfiction > Social Science > Statistics

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