Chi-Square test of independence analysis
A Chi-Square test of independence determines if two nominal variables are likely to be related.
You are assessing the previous gamedata dataset with a version variable, your A/B groups, and returning to the game variable. You have determined the sample size needed and collected the data, therefore now the Chi-Square test of independence can be run to assess whether the two version conditions and two return conditions are related.
The gamedata dataset, and effectsize and pwr packages have been loaded for you.
This exercise is part of the course
A/B Testing in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create a frequency table and run the test
freqtbl <- ___(___)
chisq.test(___)