Probability, Bayes Theorem, Conditional Probability, Inferential Statistics, Probability Distributions.
hypothesis (Prior knowledge) being true before any evidence is present. P(B) = The probability of event B by considering all possible values of the evidence variable P(B|A) = The probability of seeing the evidence given the hypothesis is true. P(A|B) = (Posterior)-The probability of a hypothesis is