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HBOK 1-575

Title Statistics Roundtable: Not Significant, But Important?
Author(s) Julia E. Seaman and I. Elaine Allen
Source Quality Progress
Topic Performance Measurement

Data Analysis

Performance Improvement

Abstract To avoid the pitfalls of p-values and formal hypothesis tests, many researchers are pointing to Bayesian methods instead of the classical frequentist methods. Bayesian techniques rely on the data for pointing in the direction of any conclusions based on the data.
Access Restrictions ASQ members and journal subscribers
Link for .PDF http://www.asq.org/quality-progress/2011/08/statistics-roundtable/not-significant-but-important.pdf
Link for HTML http://www.asq.org/quality-progress/2011/08/statistics-roundtable/not-significant-but-important.html
Reference Code 1-575

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