| Publisher | SAS Institute | ||
|---|---|---|---|
| Format | 194.6KB PDF | Date added | 04 Mar 2002 |
| Topics | Data Mining - Analysis, Knowledge and Data Management | ||
| Downloads | 247 | ||
A SAS macro for performing an Analysis of Means (ANOM) type randomization test for testing the equality of / variances when the samples are of different sizes (an unbalanced design) is presented. Robust tests are required when sampling from non-normal populations. Randomization techniques for testing statistical hypotheses can be used when parametric tests that require normality are inappropriate. Suppose that / independent samples have been collected. Randomization tests are based on shuffles or rearrangements of the (combined) sample. Putting each of the / samples "In a bowl" forms the combined sample. Drawing samples "From the bowl" forms a shuffle. Shuffles can be made with replacement (bootstrap shuffling) or without replacement (permutation shuffling).
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