To understand any statistical tool requires not only an understanding of the\nrelevant computational procedures but also an awareness of the assumptions\nupon which the procedures are based, and the effects of violations of these\nassumptions. In our earlier articles (Laverty, Miket, & Kelly [1]) and (Laverty\n& Kelly, [2] [3]) we used Microsoft Excel to simulate both a Hidden Markov\nmodel and heteroskedastic models showing different realizations of these\nmodels and the performance of the techniques for identifying the underlying\nhidden states using simulated data. The advantage of using Excel is that the\nsimulations are regenerated when the spreadsheet is recalculated allowing the\nuser to observe the performance of the statistical technique under different\nrealizations of the data. In this article we will show how to use Excel to generate\ndata from a one-way ANOVA (Analysis of Variance) model and how the\nstatistical methods behave both when the fundamental assumptions of the\nmodel hold and when these assumptions are violated. The purpose of this article\nis to provide tools for individuals to gain an intuitive understanding of\nthese violations using this readily available program.
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