Abstract
This paper presents the results of Monte Carlo (computer generated) experiments in which the usual assumptions of variance homogeneity and normality are methodically violated, and the efficiency of various common remedial measures (rank transformation, weighting, and arcsine transformation) are compared using the ordinary analysis of variance procedure. In general, the ordinary analysis of variance procedure performs quite well, but the rank transformation procedure can actually produce misleading results if performed in the presence of unequally skewed populations. Therefore, routine tests of these assumptions before performing an analysis of variance are not necessary.
- Received November 1981.
- Accepted January 1982.
- Published online January 1982
- Copyright 1982 by the American Society for Enology and Viticulture
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