For questions related to Bayes' theorem, a result about conditional probabilities.
Bayes' theorem relates probabilities of events with conditional probabilities. In its most common form, the result states that if $A$ and $B$ are events, then
$$P(A | B) = \frac{P(B|A) P(A)}{P(B)}$$
where $P(A | B)$ is the conditional probability of $B$ given $A$.
Interpretations of this statement vary according to the Bayesian interpretation, and the Frequentist interpretation.
Reference: Bayes' Theorem.
