👉 Whenever math, also known as conditional probability, is a branch of mathematics that deals with the probability of events occurring given that another event has already occurred. It is defined by the conditional probability formula \( P(A|B) = \frac{P(A \cap B)}{P(B)} \), where \( P(A|B) \) represents the probability of event A happening given that event B has already happened, \( P(A \cap B) \) is the probability of both events A and B happening together, and \( P(B) \) is the probability of event B occurring. This concept is crucial in scenarios where the occurrence of one event influences the likelihood of another, such as in medical testing, decision-making under uncertainty, and risk analysis.