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Question

Mathematics Question on Conditional Probability

Given three identical boxes II, IIII and IIIIII each containing two coins. In box II, both coins are gold coins, in box IIII, both are silver coins and in box IIIIII, there is one gold coin and one silver coin. AA person chooses a box at random and takes out a coin. If the coin is of gold, then what is the probability that the other coin in the box is also of gold?

A

13\frac{1}{3}

B

14\frac{1}{4}

C

34\frac{3}{4}

D

23\frac{2}{3}

Answer

23\frac{2}{3}

Explanation

Solution

Let E1E_1, E2E_2, E3E_3 and AA be the events defined as follows : E1=E_1 = box II is chosen, E2=E_2 = box IIII is chosen, E3=E_3 = box IIIIII is chosen and A=A = a gold coin has been taken out Then P(E1)=P(E2)=P(E3)=13P(E_1) = P(E_2) = P(E_3) = \frac{1}{3} P(AE1)=PP(A|E_1) = P( drawing a gold coin from box II) =22=1= \frac{2}{2}= 1 P(AE2)=PP(A|E_2) = P(drawing a gold coin from box IIII) =02=0= \frac{0}{2} = 0 P(AE3)=PP(A |E_3) = P(drawing a gold coin from box IIIIII) = 12\frac{1}{2} We want to find the probability that the other coin in the chosen box is gold i.e., the probability that gold coin is drawn from box II By Bayes' theorem, P(E1A)=P(E1)P(AE1)P(E1)P(AE1)+P(E2)P(AE2)+P(E3)P(AE3)P\left(E_{1}|A\right) = \frac{P\left(E_{1}\right)P\left(A |E_{1}\right)}{P \left(E_{1}\right)P\left(A|E_{1}\right) + P\left(E_{2}\right)P\left(A|E_{2}\right)+P\left(E_{3}\right)P\left(A|E_{3}\right)} =131131+130+1312= \frac{\frac{1}{3}\cdot1}{\frac{1}{3}\cdot1+\frac{1}{3}\cdot0+\frac{1}{3}\cdot\frac{1}{2}} =11+12=23= \frac{1}{1+\frac{1}{2}} = \frac{2}{3}.