Concept

Assumption Criteria for Parametric v. Non-Parametric Method Selection

Parametric Statistical Methods have Datasets that match the following Criteria: -Dependent variable data are continuous, not categorical -Data are (more or less) normally distributed -Variance (R^2) are similar/homogenous within each predictor group -Data samples are randomly selected without bias -Sample size is adequately large (n>25)

If these criteria are not met, then a non-parametric statistical test should be applied

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Updated 2020-07-16

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Data Science