Bias Testing: Myths, Misconceptions, and Mistakes

Digital Library / Journals / Journal of Testing and Evaluation (JTE) / Citation Page

Volume 24, Issue 5 (September 1996)

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ISSN: 0090-3973
Page Count: 14

Bias Testing: Myths, Misconceptions, and Mistakes
Gould, G
Self-employed consultant, NY

Abstract

The art and science of testing sampling systems for bias has been controversial from its beginnings, some 35 years ago. Since then it has evolved as a discipline of increasingly broad scope and complexity. Currently under consideration as a standard practice, it involves univariate, multivariate, parametric, and nonparametric statistical treatments, static and dynamic operating modes, single and two-stage tests, and matched samples consisting of single increments, sublots, and lots. Testing for bias has been encumbered with an ever-expanding set of myths, misconceptions, and mistakes. The author explores the most common and grievous among them using graphics to help the reader visualize the issues.

Keywords:
bias testing, normality, outliers, sample size, scale bias, Type I error, Type II error

Paper ID: JTE11313J
DOI: 10.1520/JTE11313J
ASTM International is a member of CrossRef.

Author Title Bias Testing: Myths, Misconceptions, and Mistakes Symposium , 0000-00-00 Committee D05

		Home Journals STPs Manuals Topics Subscriptions/Pricing Digital Library / Journals / Journal of Testing and Evaluation (JTE) / Citation Page Volume 24, Issue 5 (September 1996) Click here to download this paper now for $25 PDF (520K) View License Agreement ISSN: 0090-3973 Page Count: 14 Bias Testing: Myths, Misconceptions, and Mistakes Gould, G Self-employed consultant, NY Abstract The art and science of testing sampling systems for bias has been controversial from its beginnings, some 35 years ago. Since then it has evolved as a discipline of increasingly broad scope and complexity. Currently under consideration as a standard practice, it involves univariate, multivariate, parametric, and nonparametric statistical treatments, static and dynamic operating modes, single and two-stage tests, and matched samples consisting of single increments, sublots, and lots. Testing for bias has been encumbered with an ever-expanding set of myths, misconceptions, and mistakes. The author explores the most common and grievous among them using graphics to help the reader visualize the issues. Keywords: bias testing, normality, outliers, sample size, scale bias, Type I error, Type II error Paper ID: JTE11313J DOI: 10.1520/JTE11313J ASTM International is a member of CrossRef. Author Title Bias Testing: Myths, Misconceptions, and Mistakes Symposium , 0000-00-00 Committee D05