We will define the “power function” for a test and discuss its interpretation and how it can lead to the idea of a “uniformly most powerful” test. We will discuss and interpret “p-values” as an ...

Basic concepts in hypothesis testing, including effect sizes, type I and type II errors, calculation of statistical power, non-centrality parameter, and applications of these concepts to twin studies.

and then looks for evidence of relationships via hypothesis testing. (This is sometimes refered to as “shotgun statistics.”) A consulting statistician to a national anti-nuclear-power group provided a ...