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If event A and B are mutually exclusive and exhaustive events and `P(A)=(1)/(3 )P(B)` then Find P (A)

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To solve the problem step by step, we will use the information given about events A and B being mutually exclusive and exhaustive, along with the relationship between their probabilities. ### Step-by-Step Solution: 1. **Understanding the Definitions**: - Mutually Exclusive: Events A and B cannot occur at the same time, which means \( P(A \cap B) = 0 \). - Exhaustive: Events A and B cover all possible outcomes, so \( P(A \cup B) = 1 \). 2. **Setting Up the Relationship**: - We are given that \( P(A) = \frac{1}{3} P(B) \). Let's denote \( P(B) \) as \( p \). Therefore, we can express \( P(A) \) as: \[ P(A) = \frac{1}{3} p \] 3. **Using the Exhaustive Property**: - Since A and B are exhaustive, we can write: \[ P(A) + P(B) = 1 \] - Substituting the expression for \( P(A) \): \[ \frac{1}{3} p + p = 1 \] 4. **Combining Terms**: - To combine the terms on the left side, we can express \( p \) as \( \frac{3}{3} p \): \[ \frac{1}{3} p + \frac{3}{3} p = 1 \] \[ \frac{4}{3} p = 1 \] 5. **Solving for \( P(B) \)**: - To find \( p \), multiply both sides by \( \frac{3}{4} \): \[ p = \frac{3}{4} \] - Thus, \( P(B) = \frac{3}{4} \). 6. **Finding \( P(A) \)**: - Now substitute \( p \) back into the equation for \( P(A) \): \[ P(A) = \frac{1}{3} P(B) = \frac{1}{3} \times \frac{3}{4} = \frac{1}{4} \] ### Final Answer: \[ P(A) = \frac{1}{4} \]
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