Question 1
Customers arrive at a bank at a rate of 10 customers per 5 minutes. John suggests that a Poisson distribution would be a suitable model to describe the number of customers arriving at the bank in a 1-minute interval.
Write down two assumptions that John has made.
(2)
Given that the Poisson distribution is a suitable model,
find the probability that in any given 1-minute interval
exactly 2 customers arrive,
more than 4 customers arrive.
(5)
When there is sufficient evidence that the rate of customers arriving at the bank is higher than 10 customers per 5 minutes, the manager must open another service till to avoid long queues. In a 4-minute interval, the manager observes 9 customers arriving.
Test, at the 5% significance level, whether or not the manager has sufficient evidence to open another service till. State your hypotheses clearly.
(5)
Using a 1% significance level, determine the smallest number of customers the manager must observe in a 1-minute interval in order to have sufficient evidence to open another service till.
(3)