When the Blunder Is What You Want

In Chapters 9 and 10, we considered the blunder as a nuisance, something that should not be in our data, and which has to be accounted for or eliminated from the calculations. But, there are times when it is the “blunder” that we want to examine, where we are interested in the contaminating distribution.