dependent event

In statistics, dependent events are occurrences where the outcome of one event influences the probability of another event. This is in contrast to independent events, where the occurrence of one event has no impact on the probability of the other.1

For example, drawing two cards from a deck without replacement illustrates dependent events. The probability of the second card being a certain color is affected by the color of the first card drawn. If the first card drawn is red, there are fewer red cards left in the deck, thus changing the probability for the second draw. Conditional probability is used to calculate the likelihood of an event given that another event has already occurred.23