Non-Parametric statistics are statistics where it is not assumed that the population fits any parametrized distributions. Non-Parametric statistics are typically applied to populations that take on a ranked order (such as movie reviews receiving one to four stars).The branch of
statistics known as non-parametric statistics is concerned with non-parametric
statistical models and non-parametric
statistical tests.Non-parametric models differ from
parametric models in that the model structure is not specified a priori but is instead determined from data. The term nonparametric is not meant to imply that such models completely lack parameters but that the number and nature of the parameters are flexible and not fixed in advance. Nonparametric models are therefore also called distribution free or parameter-free.
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is a test that involves non-metric data (ie data that comes from nominal or ordinal scales).