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Pitfalls of Data Analysis

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Visit this site: http://www.claviusweb.net/pitfalls/
Author:Clay Helberg
Description: Subtitled "... or How to Avoid Lies and Damned Lies," this paper discusses what people "often overlook in their data analysis, and ways people sometimes 'bend the rules' of statistics to support their viewpoint." Tips to ensure the clarity and accuracy of your own statistics appear amidst sections entitled "Sources of Bias," "Errors in Methodology," and "Problems with Interpretation." Helberg originally presented this paper, which includes examples from medicine, education, and industry, at a workshop at the Third International Applied Statistics in Industry Conference.
Levels: High School (9-12), College
Languages: English
Resource Types: Articles
Math Topics: Statistics
Math Ed Topics: Public Understanding of Math

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