Question

Distinguish between parametric and non parametric test

Answer 1

Answer:

Parametric tests assume underlying statistical distributions in the data. Therefore, several conditions of validity must be met so that the result of a parametric test is reliable. For example, Student’s t-test for two independent samples is reliable only if each sample follows a normal distribution and if sample variances are homogeneous.  

Nonparametric tests do not rely on any distribution. They can thus be applied even if parametric conditions of validity are not met. 

Parametric tests often have nonparametric equivalents. You will find different parametric tests with their equivalents when they exist in this grid.