Question:

Let \( E \) and \( F \) be any two independent events with \( 0<P(E)<1 \) and \( 0<P(F)<1 \). Which one of the following statements is NOT TRUE?

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For independent events, the probability of both events occurring is \( P(E \cap F) = P(E) \cdot P(F) \). For complementary events, \( P(E) + P(F) = 1 \).
Updated On: Dec 12, 2025
  • \( P(\text{Neither } E \text{ nor } F \text{ occurs}) = P(E^C) \cdot P(F^C) \)
  • \( P(E) = 1 - P(F) \)
  • \( P(E \text{ occurs but } F \text{ does not occur}) = P(E) - P(E \cap F) \)
  • \( P(E \text{ occurs given that } F \text{ does not occur}) = P(E) \)
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The Correct Option is B

Solution and Explanation

Step 1: Check each option.
Option (B) is incorrect because \( P(E) = 1 - P(F) \) only holds if \( E \) and \( F \) are complementary events, which is not given in the problem. Step 2: Conclusion.
The correct answer is (B) \( P(E) = 1 - P(F) \).
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