Events & Promotions
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P(A or B) = P(A) + P(B) - P(A and B) for all A and B
In some cases, P(A and B) = 0
Either we are given that the events are mutually exclusive or it is obvious that they are e.g. A = "It will rain here today" and B = "It will not rain here today" or A = "I will wear red pants to work today" and B = "I will wear blue pants to work today" etc) Both cannot occur together.
Independent events means they are not related to each other e.g. A = "It will rain here today" and B = "I will get a new client at work today."
The two events are independent of each other. Here, P(A and B) = P(A) * P(B)
shanks2020
P(A or B) = P(A) + P(B) - P(A and B) for all A and B
In some cases, P(A and B) = 0
Either we are given that the events are mutually exclusive or it is obvious that they are e.g. A = "It will rain here today" and B = "It will not rain here today" or A = "I will wear red pants to work today" and B = "I will wear blue pants to work today" etc) Both cannot occur together.
Independent events means they are not related to each other e.g. A = "It will rain here today" and B = "I will get a new client at work today."
The two events are independent of each other. Here, P(A and B) = P(A) * P(B)
21 May 2025, 11:02
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Thanks to another GMAT Club member, I have just discovered this valuable topic, yet it had no discussion for over a year. I am now bumping it up - doing my job. I think you may find it valuable (esp those replies with Kudos).
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