Biostatistics
Distribution-free tests, also known as non-parametric tests, are statistical methods that do not assume a specific probability distribution for the data being analyzed. These tests are particularly useful when the assumptions required for parametric tests, such as normality, cannot be met. They rely on the rank or order of the data rather than the actual data values, making them robust and applicable in a wider range of situations.
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