Conditional Probability

Conditional probability measures the chance of $A$ given that $B$ occurred: $P(A|B) = P(A \cap B) / P(B)$. This appears constantly in quant interviews. Example: you flip a biased coin.

Given that you saw $5$ heads in a row, what's the probability the coin is unfair? You'll use conditional probability to update beliefs as new information arrives.