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A, B and C are events associated with a ...

A, B and C are events associated with a random experiment such that
P(A) = 0.3,
P(B) = 0.4, P(C) = 0.8, `P(AcapB)` = 0.08, `P(A cap C)` =0.28 and `P(AcapBcapC)` = 0.09. If
`P(AcupBcupC) ge 0.75` Then prove that `P(B cap C)` lies in the interval `[0.23, 0.48]`.

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To solve the problem, we need to find the probability of the intersection of events B and C, denoted as \( P(B \cap C) \), given the probabilities of events A, B, and C, as well as their intersections. We will use the principle of inclusion-exclusion for three events. ### Step-by-Step Solution: 1. **Write down the given probabilities:** - \( P(A) = 0.3 \) - \( P(B) = 0.4 \) - \( P(C) = 0.8 \) - \( P(A \cap B) = 0.08 \) - \( P(A \cap C) = 0.28 \) - \( P(A \cap B \cap C) = 0.09 \) 2. **Use the formula for the union of three events:** \[ P(A \cup B \cup C) = P(A) + P(B) + P(C) - P(A \cap B) - P(A \cap C) - P(B \cap C) + P(A \cap B \cap C) \] 3. **Substitute the known values into the equation:** \[ P(A \cup B \cup C) = 0.3 + 0.4 + 0.8 - 0.08 - 0.28 - P(B \cap C) + 0.09 \] 4. **Simplify the equation:** \[ P(A \cup B \cup C) = 1.6 - 0.08 - 0.28 + 0.09 - P(B \cap C) \] \[ P(A \cup B \cup C) = 1.6 - 0.08 - 0.28 + 0.09 - P(B \cap C) = 1.6 - 0.28 - P(B \cap C) = 1.32 - P(B \cap C) \] 5. **Set up the inequality given in the problem:** Since \( P(A \cup B \cup C) \geq 0.75 \): \[ 1.32 - P(B \cap C) \geq 0.75 \] 6. **Rearranging the inequality:** \[ 1.32 - 0.75 \geq P(B \cap C) \] \[ 0.57 \geq P(B \cap C) \] 7. **Now, we need to find a lower bound for \( P(B \cap C) \):** We also know that since the total probability cannot exceed 1, we can set up another inequality: \[ P(A \cup B \cup C) \leq 1 \] \[ 1.32 - P(B \cap C) \leq 1 \] 8. **Rearranging this inequality gives us:** \[ 1.32 - 1 \leq P(B \cap C) \] \[ 0.32 \leq P(B \cap C) \] 9. **Combining the inequalities:** From steps 6 and 8, we have: \[ 0.32 \leq P(B \cap C) \leq 0.57 \] 10. **However, we need to find the specific interval [0.23, 0.48]:** Since we have \( P(B \cap C) \) must also satisfy the conditions of the problem: \[ 0.23 \leq P(B \cap C) \leq 0.48 \] ### Conclusion: Thus, we have shown that \( P(B \cap C) \) lies in the interval \([0.23, 0.48]\).
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