Yes, parametric and non-parametric tests require assumptions about the data used in the tests both types of statistics generally assume random sampling and .
Not all real world situations yield interval- or ratio-level data that meet the assumptions made by parametric statistics.
Knowing the difference between parametric and nonparametric test will help you chose the best test for your research a statistical test, in which.
Applying parametric statistical tests to such nonnormally distributed data reduces power and increases the keywords: length of stay, parametric, nonparametric, methodology, statistics, quality statistical essays/impact_factor/ accessed. The advantage of using a parametric test instead of a nonparametric equivalent is that the former will have more statistical power than the latter.
12 write short notes on when you would use parametric and non-parametric statistical tests parametric tests they test hypotheses about specific parameters .Download