Advertisements
Advertisements
Question
A factory produces bulbs. The probability that one bulb is defective is \[\frac{1}{50}\] and they are packed in boxes of 10. From a single box, find the probability that none of the bulbs is defective .
Advertisements
Solution
Let getting a defective bulb from a single box is a success.
We have
\[p = \text{ probability of getting a defective bulb} = \frac{1}{50}\]
\[\text{ Also,} q = 1 - p = 1 - \frac{1}{50} = \frac{49}{50}\]
\[\text{ Let X denote the number of success in a sample of 10 trials . Then, } \]
\[\text{ X follows binomial distribution with parameters n = 10 and p } = \frac{1}{50}\]
\[ \therefore P\left( X = r \right) = ^{10}{}{C}_r p^r q^\left( 10 - r \right) = ^{10}{}{C}_r \left( \frac{1}{50} \right)^r \left( \frac{49}{50} \right)^\left( 10 - r \right) = \frac{^{10}{}{C}_r {49}^\left( 10 - r \right)}{{50}^{10}}, \text{ where } r = 0, 1, 2, 3, . . . , 10\]
\[\text{ Now} , \]
\[ \text{ Required probability } = P\left( \text{ none of the bulb is defective } \right)\]
\[ = P\left( X = 0 \right)\]
\[ = \frac{^{10}{}{C}_0 {49}^{10}}{{50}^{10}}\]
\[ = \frac{{49}^{10}}{{50}^{10}}\]
\[ = \left( \frac{49}{50} \right)^{10} \]
