Parametric is a statistical test which assumes parameters and the distributions about the population is known. It uses a mean value to measure the central tendency. These tests are common, and therefore the process of performing research is simple. Nonparametric does not make any assumptions and measures the central tendency with median value. Some examples of Nonparametric tests are Kruskal-Wallis, Mann-Whitney, etc.
Difference Between Parametric And Nonparametric
|Value for central tendency||Mean value||Median value|
|Population knowledge||Requires||Does not require|
|Used for||Interval data||Nominal data|
|Applicability||Variables||Attributes & Variables|
|Examples||t-test, z-test, etc.||Kruskal-Wallis, Mann-Whitney|
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