We run an experiment in two different ways; as a completely randomized experiment and as a split plot experiment. Our experiment was motivated by the need to emphasize the difference between a randomized run order and a completely randomized experiment. The error structure and significance of many of the minor variables changes markedly. The effects of the most significant variables and the overall results of the experiment are similar for both ways of running the experiment because of the dominant effect of a few variables. Analysis procedures are shown which extract all the information from the data. This paper serves as a tutorial in the analysis of randomized and split-plot experiments.
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