Use of a Normality Test to Identify Significant Effects in Factorial Designs

Article

Benski, H. Claudio   (1989, ASQC)   Merlin Gerin, France

Journal of Quality Technology    Vol. 21    No. 3
QICID: 5640    July 1989    pp. 174-178
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Article Abstract

Graphical techniques are often used to assess the significance of effects in unreplicated factorial experiments. This paper suggests augmenting the graphical procedures by an analytical test of the hypothesis that the calculated effects are a sample from a noncontaminated normal population. This procedure is described and compared to the use of graphical and Bayesian techniques.

Keywords

Fractional factorial design,Normality,Design of experiments (DOE)


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