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Question Numbers: 113-114Consider the following for the items that follow:
A, B and C are three events such that P(A) = 0.6, P(B) = 0.4, P(C) = 0.5, P(A ∪ B) = 0.8, P(A ∩ C) = 0.3 and P(A ∩ B ∩ C) = 0.2 and P(A ∪ B ∪ C) ≥ 0.85.
Solution:
Concept:Use the inclusion-exclusion principle for three events and constraints from given probabilities to find the minimum possible value of
P(B∩C).
Explanation:Given:
P(A)=0.6,
P(B)=0.4,
P(C)=0.5,
P(A∪B)=0.8,
P(A∩C)=0.3,
P(A∩B∩C)=0.2, and
P(A∪B∪C)≥0.85.
First, find
P(A∩B) using
P(A∪B)=P(A)+P(B)−P(A∩B).
0.8=0.6+0.4−P(A∩B)⟹P(A∩B)=0.2.
Apply inclusion-exclusion for three events:
P(A∪B∪C)=P(A)+P(B)+P(C)−P(A∩B)−P(B∩C)−P(A∩C)+P(A∩B∩C).
Substitute known values:
P(A∪B∪C)=0.6+0.4+0.5−0.2−P(B∩C)−0.3+0.2=1.2−P(B∩C).
Since
P(A∪B∪C)≥0.85, we have
1.2−P(B∩C)≥0.85.
Solve:
−P(B∩C)≥−0.35⟹P(B∩C)≤0.35. This gives the maximum possible value.
Now, consider the overlap with
A.
The event
A∩B∩C is a subset of
B∩C. So
P(B∩C)≥P(A∩B∩C)=0.2.
This gives a lower bound. Therefore, the minimum value of
P(B∩C) is
0.2.
Answer:0.2, which corresponds to option B.
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