Web Reference: Feb 24, 2026 · There are various examples of conditional probability, as in real life, where all events are related to each other, and the occurrence of any event affects the probability of another event. But events can also be "dependent" ... which means they can be affected by previous events... This is because we are removingmarbles from the bag. So the next event depends on what happened in the previous event, and is called dependent. Dependentevents are what we look at here. In this section, we discuss one of the most fundamental concepts in probability theory. Here is the question: as you obtain additional information, how should you update probabilities of events? For example, suppose that in a certain city, $23$ percent of the days are rainy.
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