From a lot of 10 bulbs, which includes 3 detectives, a sample of 2 bulbs is drawn at random. Find the probability distribution of the number of defective bulbs.

From a lot of 10 bulbs,which includes 3 defectives,a sample of 2 bulbs is drawn at random.Find the probability distribution of the number of defective bulbs.

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 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 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 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.

3defective bulbs are mixed up with 7 good 3 bulbs are drawn at random.Find the probability distribution of defective bulbs.

From a lot of 10 items containing 3 defective items a sample of 4 items is drawn at random. Let the random variable 'X' denote the number of defective items in the sample. If the sample is drawn without replacement, find : (i) The Probability Distribution of X (ii) Mean of X (iii) Variance of X.

From a lot of 10 items containing 3 defectives, a sample of 4 items id drawn at random.Let the random variable X denote the number of defective items in the sample.If the sample is drawn randomly,find (i) the probability distribution of X( ii) P(X<=1) (iii) P(X<1) (iv) P(0

From a lot of 10 items containing 3 defectives, a sample of 4 items is drawn at random without replacement. The expected number of defective items is