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Review of Twenty Nonparametric Statistics and Their Large Sample Approximations.

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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

A Review of Nonparametric Alternatives to Analysis of Covariance.

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Olejnik, Stephen F.; Algina, James – 1984

Five distribution-free alternatives to parametric analysis of covariance (ANCOVA) are presented and demonstrated using a specific data example. The procedures considered are those suggested by Quade (1967); Puri and Sen (1969); McSweeney and Porter (1971); Burnett and Barr (1978); and Shirley (1981). The results of simulation studies investigating…

Descriptors: Analysis of Covariance, Comparative Analysis, Hypothesis Testing, Mathematical Formulas