ES1001 : Poisson Distribution

Considering that the average number of soft drinks sold by a Kirana store is 2 bottles per day, what is the probability that exactly 3 soft drinks will be sold tomorrow?

• 0.1804

• 0.8571

• 0.6767

• 0.1429

A bike salesman sells an average of 3 bikes each week. Use Poisson’s formula to find the probability of him selling some bikes in a week.

• 0.0498

• 0.1991

• 0.9502

• 0.8009

If 3% of electronic units manufactured by a company are defective. Find the probability that in a sample of 200 units, less than 2 bulbs are defective.

• 0.9826

• 0.0174

• 0.0620

• 0.9380

Suppose the number of babies born each hour at a hospital follows a Poisson distribution with a mean of 2.  Find the probability that exactly five babies will be born during a particular 1-hour period at this hospital.

• 0.0166

• 0.9473

• 0.9834

• 0.0361

Suppose a Poisson probability distribution with mean 5.1 provides a good approximation of the distribution of a random variable x. Find σ for x

• 2.2583

• 5.1000

• 26.0100

• 10.2000

The number of traffic accidents that occur on a particular stretch of road during a month follows a Poisson distribution with a mean of 7.4. Find the probability that fewer than three accidents will occur next month on this stretch of road.

• 0.0051

• 0.9368

• 0.0632

• 0.0219

The number of traffic accidents that occur on a particular stretch of road during a month follows a Poisson distribution with a mean of 8. Find the probability of observing at least five accidents on this stretch of road next month.

• 0.9004

• 0.1912

• 0.8088

• 0.3134