skip to Main Content

Solving Statistics: A statistical problem – use of parametric tests for small samples?

A statistical problem – use of parametric tests for small samples?

Question

As a junior researcher I noticed that there are different opinions on when to choose nonparametric tests (like the Mann-Whitney or Kruskal-Wllis test) over parametric tests (like the independent samples t-test or ANOVA). Most researchers know that this decision should be made based on the distribution of the data: parametric tests for normally distributed outcomes, nonparametric tests for non-normal data. Therefore, in every beginners course on Statistics different ways to test/assess normality are discussed (histograms, QQ-plots, the Kolgomorov-Smirnov test, and the Shapiro-Wilk test).

Read More
Back To Top