The probability of a razor blade to be defective is `0.002`, the blades are in packet of 10. The number of packets containing no defective blades in a stock of `10000` packets is (A) `2000` (B) `9802` (C) `9950` (D) `8000`

Cycle tyres are supplied in lots of 10 and there is a chance of 1 in 500 tyres to be defective. Using Poisson's distribution the approximate number of lots containing no defective tyres in a consignment of 10,000 lots is e^-0.02=0.9802

Cycle tyres are supplied in lots of 10 and there is a chance of 1 in 500 tyres to be defective. Using Poisson's distribution the approximate number of lots containing no defective tyres in a consignment of 10,000 lots is e^-0.02=0.9802

A company knows on the basis of past experience that 2% of its blades are defective. The probability of having 3 defective blades in a sample of 100 bleades (e^(-2)=0.1353)

A factory produces lazor blades and 1 in 500 blades is estimated to be defective. The blades are supplied in packets of 10. IN a consignment of 10,000 packets, using poisson distribution, find approximately the number of packets which contain no defective blades. (Given e^(-0.02) = 0.9802 )

On an average 1 in 100 razor blades manufactured by a firm are defective.If blades are supplied in packets of 5 each, find the probability that a packet has atleast one defective blade. If 1000 packets are tested, in how many packets would you expect defective blades.

On an average 1 in 100 razor blades manufactured by a firm are defective.If blades are supplied in packets of 5 each, find the probability that a packet has atleast one defective blade. If 1000 packets are tested, in how many packets would you expect defective blades.

A factory produces lazor blades and 1 in 500 blades is estimated to be defective. The blades are supplied in packets of 10. In a consignment of 10,000 packets, using poisson distribution, find approximately the number of packets which contain no defective blades.

A factory produces lazor blades and 1 in 500 blades is estimated to be defective. The blades are supplied in packets of 10. In a consignment of 10,000 packets, using poisson distribution, find approximately the number of packets which contain no defective blades.

To probability is 0.02 that an item produced by a factory is defective. A shipment of 10,000 items is sent to its warehouse. Find the expected number of defective items and the standard deviation.

In a box containing 100 bulbs, 10 are defective. The probability that out of a sample of 5 bulbs, none is defective is (A) 10-1 (B) (1/2)^5 (C) (9/(10))^5 (D) 9/(10)