SAS procedures for approximate randomization tests |
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Authors: | Ru San Chen William P. Dunlap |
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Affiliation: | 1. Department of Psychology, Tulane University, 70118, New Orleans, LA
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Abstract: | Approximate randomization tests are alternatives to conventional parametric statistical methods used when the normality and homoscedasticity assumptions are violated This article presents an SAS program that tests the equality of two means using an approximate randomization test This program can serve as a template for testing other hypotheses, which is illustrated by modifications to test the significance of a correlation coefficient or the equality of more than two means. |
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