10% of tools produced by a certain manufacturing process turn out to be defective. Assuming binomial distribution, the probability of 2 defective in sample of 10 tools chosen at random, is

If ten precent of the tools produced in a factory turn out to be defective , then the probability that in a smple of 10 tools chosen at random, exactly two will be defective by using Poisson distribution is

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.

If ten percent of the tools produced in a factory turnout to be defective then the probability that in a sample of 10 tools chosen at random; exactly two will be defective by using poisson distribution is

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.

10% of the bulbs produced in a factory are of red colour and 2% are red and defective. If one bulb is picked at random, determine the probability of its being defective if it red.

10% of the bulbs produced in a factory are of red colour and 2% are red and defective.If one bulb is picked at random,determine the probability of its being defective if it red.

10% of the bulbs produced in a factory are red colour and 2% are red and defective. If one bulb is picked up at random, determine the probability of its being defective if it is red.

A box contains 100 bulbs out of which 10 are defective. A sample of 5 bulbs is drawn. The probability that none is defective , is

A box contains 100 bulbs out of which 10 are defective. A sample of 5 bulbs is drawn. The probability that none is defective , is