What Is Parametric and Non Parametric Tests

Parametric statistics are based on assumptions about the distribution of population from which the sample was taken. Nonparametric statistics are not based on assumptions, that is, the data can be collected from a sample that does not follow a specific distribution.

What is difference between parametric and non-parametric test?

Parametric statistics are based on assumptions about the distribution of population from which the sample was taken. Nonparametric statistics are not based on assumptions, that is, the data can be collected from a sample that does not follow a specific distribution.

What is meant by parametric test?

A parametric test is a statistical test which makes certain assumptions about the distribution of the unknown parameter of interest and thus the test statistic is valid under these assumptions. … Therefore, an integral part of applying such a test is making sure it is adequate vis-a-vis the observed data.