pairwise comparisons

[jbuszin]

I have three groups: a control group, a group that got product A, and then a group that got product B. There is a way to test the differences across all groups rather than running separate t-tests (which introduces type I error several times). If my outcome is the percent of people who were contacted, I want to see if the percent is different across groups.

Control Group % who were contacted: 10%

Product A group % who were contacted: 25%

Product B group % who were contacted: 33%

I shouldn't have to run a t-test comparing control to A, then another comparing control to B, and then a third comparing A to B. I know the method is pairwise comparisons but I'm not finding how I can do this in alteryx and I've looked on the community and surprisingly the answer seems to be "you can't" but this is not a rare statistical test!

A product analyst at alteryx help build a macro in R to run the tests but the variables need to be categorical rather than continuous. The ideal solution is that an additional predictive analytics tool can run these ANOVA tests and there's something to specify whether the variable is categorical or continuous.

-Justin

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