The Conditional Probability that the coin is weighted towards heads is 0.25/0.75 . Conditional probability is the result of Bayes’ Theorem .
A coin is tossed twice . So, total outcomes are { HH , TH , HT, TT} that is 4 .
Probability= favourable outcomes / total outcomes
Probability of getting two heads = ¼ = 0.25
Favourable outcomes are { HH , HT, TH}
Probability of getting at least one head = ¾ = 0.75
Conditional probability is measure of the probability of an event occurring, given that another event has already occurred.
Formula , P(A|B) = P(A and B)/ P(B)
Here, p(A|B) is conditional probability of A given B
P(B) is probability of event B occur
P(A and B) is probability of both events A and B occur
We have to find conditional probability that coin is weighted towards heads and it is = Probability of getting both heads / probability of getting at least one head
= ¼ / ¾ = 0.25 / 0.75
Which is required result .
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