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Normality in Quality Control Charts

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  • Peter G. Moore

Abstract

The assumption of normality in the interpretation of quality control charts may be accepted uncritically by some and viewed with scepticism by others. In this article Dr Moore shows how certain departures from normality can affect the probabilities associated with control limits calculated by normal theory. These examples should serve as a warning against the too rigid interpretation of such control limits.

Suggested Citation

  • Peter G. Moore, 1957. "Normality in Quality Control Charts," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 6(3), pages 171-179, November.
    • Handle: RePEc:bla:jorssc:v:6:y:1957:i:3:p:171-179
    DOI: 10.2307/2985602
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    Cited by:

    1. Flávia Matias Oliveira da Silva & Karina Santos Silvério & Maria Ivone Castanheira & Mariana Raposo & Maria José Imaginário & Isabel Simões & Maria Adelaide Almeida, 2022. "Construction of Control Charts to Help in the Stability and Reliability of Results in an Accredited Water Quality Control Laboratory," Sustainability, MDPI, vol. 14(22), pages 1-11, November.
    2. Nandini Das, 2011. "Control Charts Based on the g-and-h Distribution," Stochastics and Quality Control, De Gruyter, vol. 26(1), pages 3-14, January.

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