The purpose of this article is to explain Group Comparison (ANOVA)


What is Group Comparison (ANOVA) in the Data Science Toolkit?

Purpose

The purpose of the Group Comparison (ANOVA) is to compare the performance of groups using a numeric variable.

Information on ANOVA:

Outputs:

  • If pairwise comparison are included, there are four outputs
  • Pairwise Comparison between each Group table
  • ANOVA and Kruskal-Wallis Test for Group table
  • Group Results table, including normality check on each group name¬†
  • Box plot visualization

Example:

Data Science Toolkit Group Comparison (ANOVA) User Guide: How to set up Group Comparison (ANOVA)

See the Group Comparison video for an explanation of how to interpret the value.


Data Science Toolkit: Group Comparison (ANOVA) from Ruths.ai on Vimeo.

For additional information on RAI Data Science Toolkit documentation, click here.