Answer :
The probability defective item came from store b is 0.71.
Define the term conditional probability?
- The possibility of a possible outcome happening contingent on the frequency of a prior event or outcome is known as conditional probability.
- The probability of such prior event is multiplied by the current likelihood of the subsequent, or conditional, occurrence to determine the conditional probability.
First, we determine how likely it is that the faulty item came from store A:
P(A) = 40% x 3%
P(A) = 0.4 x 0.03
P(A) = 0.012
Next, we determine how likely it is that the faulty item came from store B:
P(B) = 60% x 5%
P(B) = 0.6 x 0.05
P(B) = 0.03
The merchandise could originate from either retailer.
Therefore, the likelihood of receiving a defective product is:
P(A) + P(B) = 0.012 + 0.03
P(A) + P(B) = 0.042
The probability defective item came from store b is;
P(defective from store b) = P(B)/ (P(A) + P(B))
P(defective from store b) = 0.03/0.042
P(defective from store b) = 0.71
P(defective from store b) = 5/7
Thus, probability defective item came from store b is 0.71.
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