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Fahoome, Gail; Sawilowsky, Shlomo S. – 2000
Nonparametric procedures are often more powerful than classical tests for real world data, which are rarely normally distributed. However, there are difficulties in using these tests. Computational formulas are scattered throughout the literature, and there is a lack of availability of tables of critical values. This paper brings together the…
Descriptors: Monte Carlo Methods, Nonparametric Statistics, Sample Size, Statistical Distributions