In recent chapters, we are going over Probability.

The idea of conditional probability is that the probability of an event happening may change if we know the outcome of a previous event. In symbolic notation, P(A|B), is read as “the probability of event A happening given that event B already occurred”. Knowing the outcome of event B will sometimes change the probability of event A, and sometimes it will not.

An interesting example of conditional probability in action is the Monty Hall Problem. Watch the video explaining the Monty Hall Problem,

For this discussion, research another example of conditional probability in real life situations and explain it using sufficient detail. As always, include any pictures if necessary and cite your sources.

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