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Two persons A and B are playing a game. ...

Two persons A and B are playing a game. A is tossing two coins simultaneously and B is rolling a die. A will win if he gets tail on both the coins, B will win if he gets a prime number on the die. If they take their turns alternately and A starts the game find their respective probabilities of wining.

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To solve the problem step by step, we will calculate the probabilities of A and B winning the game based on the given conditions. ### Step 1: Determine the events for A and B - **Event E1**: A wins if he gets tails on both coins. - **Event E2**: B wins if he rolls a prime number on the die. ### Step 2: Calculate the sample space for A's toss When A tosses two coins, the possible outcomes are: - HH (Heads, Heads) - HT (Heads, Tails) - TH (Tails, Heads) - TT (Tails, Tails) Thus, the sample space \( S_1 \) has 4 outcomes. ### Step 3: Calculate the probability of A winning (E1) The event E1 occurs only when A gets TT (Tails, Tails). Therefore: - \( P(E1) = \frac{1 \text{ (favorable outcome)}}{4 \text{ (total outcomes)}} = \frac{1}{4} \) ### Step 4: Calculate the probability of A not winning (E1') The probability that A does not win is: - \( P(E1') = 1 - P(E1) = 1 - \frac{1}{4} = \frac{3}{4} \) ### Step 5: Calculate the sample space for B's roll When B rolls a die, the possible outcomes are: - 1, 2, 3, 4, 5, 6 The prime numbers in this range are 2, 3, and 5. ### Step 6: Calculate the probability of B winning (E2) The event E2 occurs when B rolls a prime number. Therefore: - \( P(E2) = \frac{3 \text{ (favorable outcomes: 2, 3, 5)}}{6 \text{ (total outcomes)}} = \frac{1}{2} \) ### Step 7: Calculate the probability of B not winning (E2') The probability that B does not win is: - \( P(E2') = 1 - P(E2) = 1 - \frac{1}{2} = \frac{1}{2} \) ### Step 8: Calculate the overall probability of A winning A starts the game. The probability of A winning can be calculated as follows: - A can win on the first turn: \( P(E1) = \frac{1}{4} \) - If A does not win, B must also not win for A to have another chance: - Probability of A not winning: \( P(E1') = \frac{3}{4} \) - Probability of B not winning: \( P(E2') = \frac{1}{2} \) Thus, the probability that A wins in subsequent rounds can be represented as: - \( P(A \text{ wins}) = P(E1) + P(E1') \cdot P(E2') \cdot P(A \text{ wins}) \) Let \( P(A \text{ wins}) = p \): - \( p = \frac{1}{4} + \frac{3}{4} \cdot \frac{1}{2} \cdot p \) - Rearranging gives: \( p = \frac{1}{4} + \frac{3}{8}p \) - Multiplying through by 8 to eliminate the fraction: \( 8p = 2 + 3p \) - Simplifying gives: \( 5p = 2 \) \( p = \frac{2}{5} \) ### Step 9: Calculate the overall probability of B winning Using a similar approach: - \( P(B \text{ wins}) = P(E1') \cdot P(E2) + P(E1') \cdot P(E2') \cdot P(A \text{ loses}) \) - Let \( P(B \text{ wins}) = q \): - \( q = \frac{3}{4} \cdot \frac{1}{2} + \frac{3}{4} \cdot \frac{1}{2} \cdot q \) - Rearranging gives: \( q = \frac{3}{8} + \frac{3}{8}q \) - Multiplying through by 8: \( 8q = 3 + 3q \) - Simplifying gives: \( 5q = 3 \) \( q = \frac{3}{5} \) ### Final Result - The probability of A winning is \( \frac{2}{5} \). - The probability of B winning is \( \frac{3}{5} \).
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