[" 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]]

The probability of getting a defective shirt in a lot of 400 shirts is 0.035. Find the number of defective shirts.

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.

The bulbs produced in a factory are supposed to contain 5% defective bulbs . What is the probability that a sample of 10 bulbs will contain not more than 2 defective bulbs?