This chapter examines the fundamental principles of Bayesian probability theory. In general, this is a methodology used to try to clarify the relationship between theory and evidence. It attempts to demonstrate how the probability that the theory is true is affected by a new piece of evidence. This can be critical to auditors in drawing conclusions about large populations based upon small samples drawn.