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




What is Group Comparison (ANOVA) in 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:





See user guide how to set up Group Comparison (ANOVA): Data Science Toolkit Group Comparison (ANOVA) User Guide: How to setup Group Comparison (ANOVA)


For additional information see video: 

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



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