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The events X and Y are independent. Calculate the P(X∩Y) if P(X)=0.64 and P(Y)=0.23. Hence find P(X∪Y).
Solution. We can regard events X and Y as subsets of some probability space Ω. Then the event “X and Y” corresponds to the intersection X∩Y, while the event “X or Y” is the union X∪Y of these events.
Recall that events X and Y are called *independent* if
P(X∩Y)=P(X)⋅P(Y).
Thus in our case
P(X and Y)=P(X∩Y)=P(X)⋅P(Y)=0.64⋅0.23=0.1472.
We should compute P(X∪Y). We claim that
P(X∪Y)=P(X)+P(Y)−P(X∩Y).
Indeed, recall that is the intersection A∩B of events A and B is empty, then
P(A or B)=P(A∪B)=P(A)+P(B).
Notice that X∪Y can be represented as a union of three disjoint subsets:
X∪Y=(X∖Y) ∪ (X∩Y) ∪ (Y∖X),
whence
P(X∪Y)=P(X∖Y)+P(X∩Y)+P(Y∖X).
Moreover,
X=(X∖Y) ∪ (X∩Y),Y=(Y∖X) ∪ (X∩Y),
whence
P(X)=P(X∖Y)+P(X∩Y),P(Y)=P(Y∖X)+P(X∩Y).
Therefore
P(X∖Y)=P(X)−P(X∩Y),P(Y∖X)=P(Y)−P(X∩Y),
and so
P(X∪Y)=P(X)−P(X∩Y)+P(X∩Y)+P(Y)−P(X∩Y)=P(X)+P(Y)−P(X∩Y).
Thus
P(X∪Y)=P(X)+P(Y)−P(X∩Y)=0.64+0.23−0.1472=0.7228.