Cycle tyres are supplied in lots of 10 and there is a chance of 1 in 50 tyres to be defective . Using Possion distribution the approximate number of lots containing no defective tyres in a consignment of 100 lots is e^-0.2 =0.82

Cycle tyres are supplied in lots of 10 and there is a chance of 2 in 100 tyres to be defective . Using Poisson's distribution the approximate number of lots containing no defective tyres in a consignment of 1000 lots is e^-0.2=0.819

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 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 )

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.

What is the chance of getting at least one defective item if 3 items are drawn randomlyfrom a lot containing 6 items of which 2 are defective item?

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