Machine Learning, Data Science.
for the other, or it can be used to see the INTERACTION between the two factors. This is a great way to control for extraneous variables as you are able to add them to the design of the study. Factorial ANOVA can be balanced or unbalanced. This is to say, you can have the same number of subjects in