Volume 24, Issue 5 (September 1996)

    Bias Testing: Myths, Misconceptions, and Mistakes

    (Received 22 May 1996; accepted 21 June 1996)


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    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.

    Author Information:

    Gould, G
    Self-employed consultant, Thornwood, NY

    Stock #: JTE11313J

    ISSN: 0090-3973

    DOI: 10.1520/JTE11313J

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