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Let A and B be two events such that P(A|...

Let A and B be two events such that P(A|B)=1/2 , P(B|A)=1/3, `P(A nn B)`=1/6 , then

A

`P(A uu B)=1//2`

B

A and B are independent

C

`P(A' uu B)`=1/3

D

none of these

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To solve the problem, we need to find the probabilities of events A and B using the given information. We have: 1. \( P(A|B) = \frac{1}{2} \) 2. \( P(B|A) = \frac{1}{3} \) 3. \( P(A \cap B) = \frac{1}{6} \) ### Step 1: Use the definition of conditional probability The formula for conditional probability is given by: \[ P(A|B) = \frac{P(A \cap B)}{P(B)} \] Substituting the known values: \[ \frac{1}{2} = \frac{\frac{1}{6}}{P(B)} \] ### Step 2: Solve for \( P(B) \) Cross-multiplying gives: \[ P(B) = \frac{1}{6} \times 2 = \frac{1}{3} \] ### Step 3: Use the second conditional probability Now, using the second conditional probability: \[ P(B|A) = \frac{P(A \cap B)}{P(A)} \] Substituting the known values: \[ \frac{1}{3} = \frac{\frac{1}{6}}{P(A)} \] ### Step 4: Solve for \( P(A) \) Cross-multiplying gives: \[ P(A) = \frac{1}{6} \times 3 = \frac{1}{2} \] ### Step 5: Calculate \( P(A \cup B) \) We can now find \( P(A \cup B) \) using the formula: \[ P(A \cup B) = P(A) + P(B) - P(A \cap B) \] Substituting the values we found: \[ P(A \cup B) = \frac{1}{2} + \frac{1}{3} - \frac{1}{6} \] ### Step 6: Find a common denominator and simplify The common denominator for \( \frac{1}{2}, \frac{1}{3}, \frac{1}{6} \) is 6. Thus: \[ P(A \cup B) = \frac{3}{6} + \frac{2}{6} - \frac{1}{6} = \frac{4}{6} = \frac{2}{3} \] ### Step 7: Check for independence To check if A and B are independent, we need to see if: \[ P(A \cap B) = P(A) \cdot P(B) \] Substituting the values we found: \[ \frac{1}{6} = \frac{1}{2} \cdot \frac{1}{3} \] Calculating the right side: \[ \frac{1}{2} \cdot \frac{1}{3} = \frac{1}{6} \] Since both sides are equal, A and B are independent. ### Conclusion Thus, we have found: - \( P(A) = \frac{1}{2} \) - \( P(B) = \frac{1}{3} \) - \( P(A \cup B) = \frac{2}{3} \) - A and B are independent.
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