6 Matching Annotations
  1. Last 7 days
    1. With large sample sizes, both tests are very sensitive to slightest violations and will usually have p-values below .05, although the data/residuals are sufficiently normally distributed.

      The problem with normality tests.

  2. Oct 2020
  3. Sep 2020
  4. Apr 2019
    1. However, platykurtosis can have a profound effect when your group sizes are small. This leaves you with two options: (1) transform your data using various algorithms so that the shape of your distributions become normally distributed or (2) choose the nonparametric Kruskal-Wallis H Test which does not require the assumption of normality.

      ANOVA is robust against violation of normality, but...

  5. Mar 2019