Question
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Determine whether the following statement is true or false. If it is false, explain why. The probability that event \( A \) or event \( B \) will occur is \( P(A \) or \( B)=P(A)+P(B)+P(A \) and \( B) \) Choose the correct answer below. A. True B. False, the probability that \( A \) or \( B \) will occur is \( P(A \) or \( B)=P(A)+P(B) \). C. False, the probability that \( A \) or \( B \) will occur is \( P(A \) or \( B)=P(A) \cdot P(B) \). D. False, the probability that \( A \) or \( B \) will occur is \( P(A \) or \( B)=P(A)+P(B)-P(A \) and \( B) \).

Ask by Wilson Gray. in the United States
Jan 30,2025

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Tutor-Verified Answer

Answer

The statement is **false**. The correct formula for the probability of either event \( A \) or event \( B \) occurring is: \[ P(A \text{ or } B) = P(A) + P(B) - P(A \text{ and } B) \] So, the correct answer is: D. False, the probability that \( A \) or \( B \) will occur is \( P(A \) or \( B)=P(A)+P(B)-P(A \) and \( B) \).

Solution

The statement provided is **false**. **Explanation:** In probability theory, when calculating the probability of either event \( A \) or event \( B \) occurring (denoted as \( P(A \text{ or } B) \)), we must account for the fact that if both events can occur simultaneously, the overlap (i.e., \( P(A \text{ and } B) \)) would be counted twice if we simply added \( P(A) \) and \( P(B) \). To correct for this double-counting, we subtract the probability of both events occurring together. The correct formula is: \[ P(A \text{ or } B) = P(A) + P(B) - P(A \text{ and } B) \] **Correct Answer:** D. False, the probability that \( A \) or \( B \) will occur is \( P(A \) or \( B)=P(A)+P(B)-P(A \) and \( B) \).

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The correct answer is D. False, the probability that \( A \) or \( B \) will occur is \( P(A \) or \( B)=P(A)+P(B)-P(A \) and \( B) \). This formula accounts for the potential overlap between events \( A \) and \( B \). If both events can occur simultaneously, adding \( P(A) \) and \( P(B) \) would double-count the probability of their intersection \( P(A \) and \( B) \). Therefore, we subtract \( P(A \) and \( B) \) to correct for this overlap, giving us the accurate probability of either event happening. Probability can seem tricky at first, but just think of it like a party: if two friends both invite the same guest, you wouldn't want to count that guest twice when estimating how many people will show up! They should only be counted once!

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