Concept:Bayes' theorem – finding the probability that the two-headed coin was selected given that the flip shows heads.
Explanation:Let
E1,
E2,
E3 be the events of selecting the two-headed coin, the biased coin (75% heads), and the fair coin respectively.
Each coin is equally likely to be chosen:
P(E1)=P(E2)=P(E3)=31.
Let
A be the event that the coin shows heads.
If the two-headed coin is chosen, head is certain:
P(A∣E1)=1.
If the biased coin is chosen, head appears 75% of the time:
P(A∣E2)=43.
If the fair coin is chosen, head appears half the time:
P(A∣E3)=21.
We need
P(E1∣A), the probability that the coin is two-headed given a head appeared.
Using Bayes' theorem:
P(E1∣A)=P(E1)P(A∣E1)+P(E2)P(A∣E2)+P(E3)P(A∣E3)P(E1)P(A∣E1).
Substitute the values:
P(E1∣A)=31×1+31×43+31×2131×1.
Factor
31 from denominator:
P(E1∣A)=31(1+43+21)31=1+43+211.
Simplify the sum inside denominator:
1+43+21=44+43+42=49.
Thus
P(E1∣A)=491=94.
Answer:94 (Option C).