In this article Jeremy and George turn to literary and religious tradition to illustrate how wise rulers could have benefited by tools we study and apply in preparation for our credentialing exams.
In Design of Experiments, blocking involves recognizing uncontrolled factors and ensuring as wide a spread across these factors.
Confounding occurs when you can’t distinguish the effects of certain factor interactions because of other potential factor effects.
Yates analysis is a method of analyzing data from full and partial factorial design experiments. It requires two levels for each factor in the experiment.
In his latest article Jeremy provides great real-life examples how performing root cause analysis can change lives.