Three machinesE1, E2 and E3 in a certain factory producing electric bulbs, produce 50%, 25% and 25% respectively, of the total daily output of electric bulbs. It is known that 4% of the bulbs produced by each of machines E1 and E2 are defective and that 5% of those produced by machine E3are defective. If one bulb is picked up at random from a day’s production, calculate the probability that it is defective.

Three machines E 1, E 2, and E 3, in a certain factory producing electric bulbs, produce 50%, 25% and 25 % respectively, of the total daily output of electric bulbs. It is known that 4% of the bulbs produced by each of machines E 1, and E 2, are defective and that 5% of those produced by machine E 3, are defective. If one bulb is picked up at random from a day's production, then calculate the probability that it is defective.

Three machines E_1, E_2, E_3 in a certain factory produce 50%, 25% and 25% respectively of the total daily output of electric tubes. It is known that 4% of the tubes produced by each of machines E_1 and E_2 are defective, and that 5% of those produced on E_3 are defective. If one tube is picked up at random from a day's production, calculate the probability that it is defective.

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.

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.

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.

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