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.

From a lot of 30 nulbs 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.

From a lot of 30 bulbs which include 6 detective, a sample of 4 balls is drawn at random with replacement. Find the probability distribution of the number of defective bulbs.

From a lot of 15 bulbs which include 5 defectives, a sample of 2 bulbs is drawn at random (without replacement). Find the probability distribution of the number of defective bulbs.

From a lot of 15 bulbs which include 5 defectives, a sample of 2 bulbs is drawn at random (without replacement). Find the probability distribution of the number of defective bulbs.

From a lot of 15 bulbs which include 5 defectives,a sample of 2 bulbs is drawn at random (without replacement).Find the probability distribution of the number of defective 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 30 bulbs which includes 6 defectives, a sample of 4 bulbs is drawn at random with replacement. Find the mean and variance of the number of defective 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 number of defective bulbs. Hence find the mean of the distribution.