Ab Testing, Experiment, Data Science, Machine Learning.
so far is engage in an exercise of measuring variance using different methods and then performing an adjustment to the total variance. The natural question is why should we use parametric models to do that given that in the real world we have the following scenarios: We can have multiple covariates