20% of the bulbs produced by a machine are defective. Find the probability distribution of the number of defective bulbs in a sample of 4 bulbs chosen at random.

Five defective bulbs are accidentally mixed with 20 good ones. It is not possible to just look at a bulb and tell whether or not it is defective. Find the probability distribution of the number of defective bulbs if 3 bulbs are drawn at random.

Five Defective bulbs are accidentally mixed with 20 good ones. It is not possible to just look at a bulb and tell whether or not it is defective. Find the probability distribution of the number of defective bulbs if 3 bulbs are drawn at random.

Five defective bulbs are accidentally mixed with 20 good ones it is not possible to just look at a bulbs and tell whether or not it is defective find the probability distribution of the number of defective bulbs in a draw of 4 bulbs

From a lot of 15 bulbs which include 5 defectives, a sample of 4 bulbs is drawn one by one with replacement. Find the probability distribution of the number of defective bulbs. Hence, find the mean of the distribution.

From a lot of 15 bulbs which include 5 defectives, a sample of 4 bulbs is drawn one by one with replacement. Find the probability distribution of number of defective bulbs. Also, find the mean of the distribution.

From a lot of 15 bulbs which include 5 defectives,a sample of 4 bulbs is drawn one by one with replacement.Find the probability distribution of number of defective bulbs. Hence find the mean of the distribution.

From a lot o f15bulbs which include 5 defective,a sample of 4 bulbs is drawn one by one with replacement.Find the probability distribution of number of defective bulbs. Hence,find the mean of the distribution.

From a lot of 30 bulbs, which include 6 defectives, a sample of 4 bulbs is drawn at random with replacement. Find the probability distribution of the number of defective bulbs. Also find the mean and variance of the distribution.

20% of the bolts produced in a factory are found to be defective. Find the probability that in a sample of 10 bolts chosen at random, exactly 2 will be defective using binomial distribution.