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If P(not B) = 0.65, P(A cup B)=0.85 and ...

If P(not B) = 0.65, `P(A cup B)=0.85` and A and B are independent events, then find P(A).

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To solve the problem, we will follow these steps: **Step 1: Find P(B)** Given that P(not B) = 0.65, we can find P(B) using the formula: \[ P(B) = 1 - P(\text{not } B) \] Substituting the given value: \[ P(B) = 1 - 0.65 = 0.35 \] **Step 2: Use the formula for P(A ∪ B)** We know that for any two events A and B: \[ P(A \cup B) = P(A) + P(B) - P(A \cap B) \] Since A and B are independent events, we have: \[ P(A \cap B) = P(A) \cdot P(B) \] Thus, we can rewrite the formula as: \[ P(A \cup B) = P(A) + P(B) - P(A) \cdot P(B) \] **Step 3: Substitute known values** We know: - P(A ∪ B) = 0.85 - P(B) = 0.35 Substituting these into the equation: \[ 0.85 = P(A) + 0.35 - P(A) \cdot 0.35 \] **Step 4: Rearrange the equation** Let's rearrange the equation to isolate P(A): \[ 0.85 = P(A) + 0.35 - 0.35 P(A) \] Combine like terms: \[ 0.85 = P(A)(1 - 0.35) + 0.35 \] \[ 0.85 = P(A)(0.65) + 0.35 \] **Step 5: Solve for P(A)** Now, isolate P(A): \[ 0.85 - 0.35 = 0.65 P(A) \] \[ 0.50 = 0.65 P(A) \] Now divide both sides by 0.65: \[ P(A) = \frac{0.50}{0.65} \] **Step 6: Calculate P(A)** Calculating the value: \[ P(A) \approx 0.7692 \] Thus, the final answer is: \[ P(A) \approx 0.7692 \] ---
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