Conditional probability question with set theory things

AI Thread Summary
The discussion centers on calculating the probability of multiple independent events occurring given that at least one has occurred. The user has determined the probability of at least one event occurring, P(F), to be approximately 0.1. They are now seeking assistance in expressing the probability of more than one event occurring, represented as E, using set notation. The proposed representation for E includes combinations of events, but the user is uncertain about its correctness and how to proceed with calculating P(E | F). Clarification is needed on both the symbolic representation and the calculation method.
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Homework Statement



Basically, I'm given the probability of 4 independent events:

P(A) = 0.04
P(B) = 0.03
P(C) = 0.02
P(D) = 0.01

If anyone of these occur, a failure will happen.
More than one can happen at the same time.

I need to find the probability that more than one of them has occurred given at least one as occurred.

Homework Equations





The Attempt at a Solution



I solved for the prob that at least one occurred:
Let F = A∪B∪C∪D
Then P(F) = P(A) + P(B) + P(C) + P(D) - P(A∩B∩C∩D) = 0.09999976

Now I have to solve for prob of 'more than one' occurred given F has occurred.
I'm stuck on this part.
How do I represent 'more than one occurred' with symbols?
Would it be E = (A∩B)∪(A∩C)∪(B∩D)∪(C∩D)?

Then P(E | F) ?
 
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No one..?
Is my post not understandable?
 
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