Question:

Consider a coin for which the probability of obtaining head in a single toss is 13 \frac{1}{3} . Sunita tosses the coin once. If head appears, she receives a random amount of X X rupees, where X X has the Exp(19) \text{Exp}\left( \frac{1}{9} \right) distribution. If tail appears, she loses a random amount of Y Y rupees, where Y Y has the Exp(13) \text{Exp}\left( \frac{1}{3} \right) distribution. Her expected gain (in rupees) is equal to __________ (answer in integer).

Updated On: Jan 25, 2025
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Correct Answer: 1

Solution and Explanation

1. Expected Value of X X and Y Y : - For X∼Exp(19) X \sim \text{Exp}\left(\frac{1}{9}\right) , the mean is: E(X)=9. E(X) = 9. - For Y∼Exp(13) Y \sim \text{Exp}\left(\frac{1}{3}\right) , the mean is: E(Y)=3. E(Y) = 3. 2. Expected Gain: - The expected gain G G is given by: G=P(Head)E(X)βˆ’P(Tail)E(Y). G = P(\text{Head})E(X) - P(\text{Tail})E(Y). - Substituting probabilities P(Head)=13 P(\text{Head}) = \frac{1}{3} and P(Tail)=23 P(\text{Tail}) = \frac{2}{3} , and the expected values: G=13(9)βˆ’23(3). G = \frac{1}{3}(9) - \frac{2}{3}(3). - Simplify: G=3βˆ’2=1. G = 3 - 2 = 1.
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