When analyzing a new method or process, we usually use a t-test to see
if the new method is equivalent. If it is not, we look at the variance
and target values to see if it failed because it was "better" Is there a
statistical test to check for "better" without checking first for
equivalence and then for variance and target?
Thanks, Jim
