 Normative means-ends epistemology can be applied to statistical hypotheses as well as deductive ones. In particular we will discuss how the ideas of reliable convergence to the truth and minimizing regressive mind changes can be adapted to the statistical setting. The key idea is to shift the unit of analysis: Whereas previously we considered the behavior of an inductive method for a specific data sequence, in statistical analysis we consider its aggregate behavior over a set of data sequences of the same length. In particular, we consider the probability that a method conjectures a hypothesis H for a given number of observations \(n.\)