Abstract
The comparison of two treatments generally falls into one of the following two categories: (a) we may have a number of replications for each of the two treatments, which are unpaired, or (b) we may have a number of paired comparisons leading to a series of differences, some of which may be positive and some negative. The appropriate methods for testing the significance of the differences of the means in these two cases are described in most of the textbooks on statistical methods.
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Literature Cited
Cochran, W.G.. The efficiencies of the binomial series tests of significance of a mean and of a correlation coefficient. Jour. Roy. Stat. Soc., 100: 69–73, 1937.
Fisher, R A. The design of experiments. Third ed., Oliver & Boyd, Ltd., London, 1942
Friedman. Milton. The use ranks to avoid the assumption of normality. Jour. Amer. Stat. Assn. 32: 675–701. 1937.
MacMahon, P.A. Combinatory analysis, Vol. II. Cambridge University Press. 1916.
Whitworth, W.A. Choice and chance, G.F. Stechert & Co., New York, 1942.
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© 1992 Springer-Verlag New York, Inc.
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Wilcoxon, F. (1992). Individual Comparisons by Ranking Methods. In: Kotz, S., Johnson, N.L. (eds) Breakthroughs in Statistics. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4380-9_16
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DOI: https://doi.org/10.1007/978-1-4612-4380-9_16
Publisher Name: Springer, New York, NY
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