I need an example of a complex conditional probability question. With the question and answer..
Thanks!
Answer:-
The probability of an event occurring given that another event has already occurred is called a conditional probability.
Recall that when two events, A and B, are dependent, the probability of both occurring is
P(A and B) = P(A) × P(B given A)
or P(A and B) = P(A) × P(B | A)
Example:-
A box contains three coins: two regular coins and one fake two-headed coin (P(H)=1),
You pick a coin at random and toss it. What is the probability that it lands heads up?
You pick a coin at random and toss it, and get heads. What is the probability that it is the two-headed coin?
Solution
This is another typical problem for which the law of total probability is useful. Let C1 be the event that you choose a regular coin, and let C2 be the event that you choose the two-headed coin. Note that C1 and C2 form a partition of the sample space. We already know that
P(H|C1)=0.5,
P(H|C2)=1.
Thus, we can use the law of total probability to write
P(H) =P(H|C1)P(C1)+P(H|C2)P(C2)
=12.23+1.13
=23.
Now, for the second part of the problem.
P(C2|H) =P(H|C2)P(C2)P(H)
=1.1323
=12.
I need an example of a complex conditional probability question. With the question and answer.. Thanks!
Please write in Bold letters thanks Create a real-world example of how to determine the conditional probability of event A given event B
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