Step 1: Law of Total Probability \[ P(A) = P(A | B) P(B) + P(A | B^c) P(B^c) \]
where:
- \( P(A) = 0.49 \) - \( P(A | B^c) = 0.4 \)
- \( P(B) = 0.3 \), so \( P(B^c) = 1 - 0.3 = 0.7 \)
Step 2: Solve for \( P(A | B) \) \[ 0.49 = P(A | B) (0.3) + (0.4)(0.7) \] \[ 0.49 = 0.3 P(A | B) + 0.28 \] \[ 0.3 P(A | B) = 0.49 - 0.28 = 0.21 \] \[ P(A | B) = \frac{0.21}{0.3} = 0.7 \]
Final Answer: \[ \boxed{0.7} \]
A shop selling electronic items sells smartphones of only three reputed companies A, B, and C because chances of their manufacturing a defective smartphone are only 5%, 4%, and 2% respectively. In his inventory, he has 25% smartphones from company A, 35% smartphones from company B, and 40% smartphones from company C.
A person buys a smartphone from this shop
A shop selling electronic items sells smartphones of only three reputed companies A, B, and C because chances of their manufacturing a defective smartphone are only 5%, 4%, and 2% respectively. In his inventory, he has 25% smartphones from company A, 35% smartphones from company B, and 40% smartphones from company C.
A person buys a smartphone from this shop
(i) Find the probability that it was defective.