Quality Engineering vol. 20 issue 2 - April 2008
Abstract: [This abstract is based on the author’s abstract.] Seventy-five years ago it was demonstrated that the key concepts of randomization, blocking, and replication make it possible to conduct experiments on processes that may not be in a state of statistical control. Yet even today confusion remains about the need for statistical control as a prerequisite for conducting valid industrial experiments. This article reviews and extends the original argument, reusing the original examples to discount the need for statistical control as a prerequisite in industrial experiments. Clarifying this issue may encourage quality practitioners to find wider use for designed experiments.
Keywords: Analysis of variance (ANOVA) - Blocking - Design of experiments (DOE) - Randomization tests - Replication
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