Parametric tests assume a certain distribution of data, while non-parametric tests make no assumptions about the distribution; understanding these differences is important in selecting the appropriate test for power and sample size calculations.
Parametric tests assume a certain distribution of data, while non-parametric tests make no assumptions about the distribution; understanding these differences is important in selecting the appropriate test for power and sample size calculations.