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Question

Mathematics Question on Conditional Probability

There are two coins, one unbiased with probability 12\frac{1}{2} of getting heads and the other one is biased with probability 34\frac{3}{4} of getting heads. A coin is selected at random and tossed. It shows heads up. Then the probability that the unbiased coin was selected is

A

23\frac{2}{3}

B

35\frac{3}{5}

C

12\frac{1}{2}

D

25\frac{2}{5}

Answer

25\frac{2}{5}

Explanation

Solution

Let EE \rightarrow Event of head showing up E1E_{1} \rightarrow Event of biased coin chosen E2E_{2} \rightarrow Event of unbiased coin chosen Now, P(E2)=12P\left(E_{2}\right)=\frac{1}{2} and P(E1)=12P\left(E_{1}\right)=\frac{1}{2} Also, P(EE2)=12P\left(\frac{E}{E_{2}}\right)=\frac{1}{2} and P(EE1)=34P\left(\frac{E}{E_{1}}\right)=\frac{3}{4} (by conditional probability) By Baye?? theorem P(E2E)=P(E2)P(EE2)P(E2)P(EE2)+P(E1)P(EE1)P\left(\frac{E_{2}}{E}\right)=\frac{P\left(E_{2}\right) \cdot P\left(\frac{E}{E_{2}}\right)}{P\left(E_{2}\right) \cdot P\left(\frac{E}{E_{2}}\right)+P\left(E_{1}\right) \cdot P\left(\frac{E}{E_{1}}\right)} =12×1212×12+12×34=25=\frac{\frac{1}{2} \times \frac{1}{2}}{\frac{1}{2} \times \frac{1}{2}+\frac{1}{2} \times \frac{3}{4}}=\frac{2}{5}