Question

Difficulty: MediumProbability of Independent, Dependent, and Mutually Exclusive Events

Events AA and BB are mutually exclusive, with P(A)=0.25P(A) = 0.25 and P(B)=0.40P(B) = 0.40. Event CC is independent of both event AA and event BB, with P(C)=0.50P(C) = 0.50. What is the probability that event CC occurs and at least one of events AA or BB occurs?

  1. A
    0.0500.050
  2. B
    0.1250.125
  3. 0.3250.325Answer
  4. D
    0.6500.650
  5. E
    0.8250.825

Answer

The probability that event CC occurs and at least one of events AA or BB occurs is 0.3250.325.
The correct answer is 0.3250.325. First, since AA and BB are mutually exclusive events, the probability of at least one of them occurring is P(A or B)=P(A)+P(B)=0.25+0.40=0.65P(A \text{ or } B) = P(A) + P(B) = 0.25 + 0.40 = 0.65. Second, because event CC is independent of both events, the probability that CC occurs AND at least one of AA or BB occurs is given by the multiplication rule for independent events: P(C)×P(A or B)=0.50×0.65=0.325P(C) \times P(A \text{ or } B) = 0.50 \times 0.65 = 0.325.

Step-by-Step Solution

1
Calculate the probability of the union of mutually exclusive events AA and BB.
P(A or B)=P(A)+P(B)=0.25+0.40=0.65P(A \text{ or } B) = P(A) + P(B) = 0.25 + 0.40 = 0.65
Since AA and BB are mutually exclusive, P(AB)=0P(A \cap B) = 0, so their combined probability is simply the sum of their individual probabilities.
2
Calculate the joint probability of event CC and event (A or B)(A \text{ or } B).
P(C and (A or B))=P(C)×P(A or B)=0.50×0.65=0.325P(C \text{ and } (A \text{ or } B)) = P(C) \times P(A \text{ or } B) = 0.50 \times 0.65 = 0.325
Event CC is independent of both AA and BB, which implies CC is independent of (A or B)(A \text{ or } B). Therefore, the joint probability is found by multiplying their individual probabilities.

Key Concept

Probability rules for mutually exclusive events (addition rule) and independent events (multiplication rule).
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