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Statistical Misconceptions : Classic Edition (Psychology Press & Routledge Classic Editions)

By: Schuyler Huck (Author)

Manufacture on Demand

Ksh 39,250.00

Format: Hardback or Cased Book

ISBN-10: 1138120065

ISBN-13: 9781138120068

Collection / Series: Psychology Press & Routledge Classic Editions

Collection Type: Publisher collection

Publisher: Taylor & Francis Ltd

Imprint: Routledge

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Dec 15th, 2015

Publication Status: Active

Product extent: 288 Pages

Weight: 589.00 grams

Product Classification / Subject(s): Psychological methodology
Probability & statistics

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  • Description

  • Reviews

This engaging book helps readers identify and then discard 52 misconceptions about data and statistical summaries.

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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