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|Table of Contents Statistical Tests Non-parametric Tests Randomization Tests|
|See also: rank randomization tests, distribution-free tests|
Most non-parametric tests are based on the principle of randomization. The idea behind this is that the probability of a particular value of a test statistic is calculated by evaluating all possible values of the test statistic. Since the number of possible values of a test statistic can be huge, even for small samples sizes, it is often impractical (or even impossible) to calculate the probability directly.
A possible strategy to reduce the amount of required computations is
called resampling: instead of calculating all possible combinations, one
could draw numerous random samples and calculate the probability from these
Last Update: 2005-Jšn-25