P(E|F) is given by the probability of event E given that event F has already occurred. This is calculated using the formula:

P(E|F) = P(E ∩ F) / P(F)

Here,
P(E ∩ F) is the probability of both events E and F occurring,
P(F) is the probability of event F occurring.

This is known as the conditional probability of E given F.

Question

P(E|F) is given by the probability of event E given that event F has already occurred. This is calculated using the formula:

P(E|F) = P(E ∩ F) / P(F)

Here, 
P(E ∩ F) is the probability of both events E and F occurring,
P(F) is the probability of event F occurring.

This is known as the conditional probability of E given F.

Knowee AI · Accepted Answer

P(E|F) is given by the probability of event E given that event F has already occurred. This is calculated using the formula:

P(E|F) = P(E ∩ F) / P(F)

Here, 
P(E ∩ F) is the probability of both events E and F occurring,
P(F) is the probability of event F occurring.

This is known as the conditional probability of E given F.

If E and F are two events associated with the same sample space of a random experiment then P(E|F) is given by __________