Let $ P(A) = \frac{1}{2} $, $ P(B) = \frac{1}{4} $, and $ P(C) = \frac{1}{3} $. We want to find the probability that exactly two of them solve the problem. This can happen in three ways: $ A $ and $ B $ solve, $ A $ and $ C $ solve, or $ B $ and $ C $ solve.
$$ P(\text{exactly two}) = P(A \cap B \cap C') + P(A \cap B' \cap C) + P(A' \cap B \cap C). $$
Using independence, we calculate each term:
Now compute each term:
$$ P(A \cap B \cap C') = P(A) P(B) P(C') = \left(\frac{1}{2}\right)\left(\frac{1}{4}\right)\left(\frac{2}{3}\right) = \frac{2}{24}. $$ $$ P(A \cap B' \cap C) = P(A) P(B') P(C) = \left(\frac{1}{2}\right)\left(\frac{3}{4}\right)\left(\frac{1}{3}\right) = \frac{3}{24}. $$ $$ P(A' \cap B \cap C) = P(A') P(B) P(C) = \left(\frac{1}{2}\right)\left(\frac{1}{4}\right)\left(\frac{1}{3}\right) = \frac{1}{24}. $$
Add these probabilities:
$$ P(\text{exactly two}) = \frac{2}{24} + \frac{3}{24} + \frac{1}{24} = \frac{6}{24} = \frac{1}{4}. $$
We want to find the probability that the problem is solved by any two of them. This can happen in three ways:
Since these are mutually exclusive events, we can add their probabilities:
\(P(\text{any two solve it}) = P(A \cap B \cap C') + P(A \cap B' \cap C) + P(A' \cap B \cap C)\)
\(= \frac{1}{12} + \frac{1}{8} + \frac{1}{24}\)
\(= \frac{2 + 3 + 1}{24}\)
\(= \frac{6}{24}\)
\(= \frac{1}{4}\)
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.