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A sample consists of six points S={(I,j)...

A sample consists of six points S={(I,j)|i=1,2,j=1,2,3}. Suppose P((I,j)) =`k/(i+j)`. Let A = {(I,j)|i+j=4} and B={(I,j)|j=2} , then P(B|A) is equal to

A

`1/2`

B

`1/3`

C

`1/4`

D

`1/6`

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The correct Answer is:
To solve the problem, we need to find \( P(B|A) \), which is the conditional probability of event B given event A. Here’s the step-by-step solution: ### Step 1: Define the Sample Space S The sample consists of six points defined as: \[ S = \{(i,j) | i=1,2 \text{ and } j=1,2,3\} \] The points in S are: - (1,1) - (1,2) - (1,3) - (2,1) - (2,2) - (2,3) ### Step 2: Define Events A and B - Event A is defined as: \[ A = \{(i,j) | i+j=4\} \] The possible pairs that satisfy this condition are: - (1,3) because \( 1+3=4 \) - (2,2) because \( 2+2=4 \) - (3,1) is not possible since \( i \) can only be 1 or 2. Thus, \[ A = \{(1,3), (2,2)\} \] - Event B is defined as: \[ B = \{(i,j) | j=2\} \] The possible pairs that satisfy this condition are: - (1,2) - (2,2) Thus, \[ B = \{(1,2), (2,2)\} \] ### Step 3: Find the Intersection of A and B Now we need to find the intersection of events A and B: \[ A \cap B = \{(i,j) | (i,j) \in A \text{ and } (i,j) \in B\} \] From our definitions: - A contains (1,3) and (2,2) - B contains (1,2) and (2,2) The common point is: \[ A \cap B = \{(2,2)\} \] ### Step 4: Calculate Probabilities - The total number of points in sample space \( S \) is 6. - The number of favorable outcomes for \( A \) is 2 (the points (1,3) and (2,2)). - The number of favorable outcomes for \( B \cap A \) is 1 (the point (2,2)). Now we can calculate the probabilities: - Probability of A: \[ P(A) = \frac{\text{Number of favorable outcomes for A}}{\text{Total outcomes}} = \frac{2}{6} = \frac{1}{3} \] - Probability of \( B \cap A \): \[ P(B \cap A) = \frac{\text{Number of favorable outcomes for } B \cap A}{\text{Total outcomes}} = \frac{1}{6} \] ### Step 5: Calculate Conditional Probability \( P(B|A) \) Using the formula for conditional probability: \[ P(B|A) = \frac{P(B \cap A)}{P(A)} \] Substituting the values we found: \[ P(B|A) = \frac{\frac{1}{6}}{\frac{2}{6}} = \frac{1}{2} \] ### Final Answer Thus, the probability \( P(B|A) \) is: \[ \boxed{\frac{1}{2}} \]
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