From probability distributions we moved onto exploring conditional probabilities. Conditional probabilities contain the condition, as the name implies, that one event occurs provided that another event has already occurred, or 'given the probability of event, given event A'. This can include situations involving either/or, such as whether a type of material is recycled or not, or whether household chores are undertaken depending on gender of the family member involved. Jared studied a few practical examples where the information was laid out in table format. We finished class by expressing this as a formula, i.e. the probability of event B to happen given event A = P ( A and B ) / P ( A ).