On Parametric Statistical Test?

A parametric statistical test makes an assumption about the population parameters and the distributions that the data came from. These types of test includes Student's T tests and ANOVA tests, which assume data is from a normal distribution. ... Every parametric test has a nonparametric equivalent.

What is parametric test used for?

Parametric tests are those that make assumptions about the parameters of the population distribution from which the sample is drawn. This is often the assumption that the population data are normally distributed. Non-parametric tests are “distribution-free” and, as such, can be used for non-Normal variables.

What is the difference between parametric and nonparametric 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.