14. A manager of a local fast food restaurant wants to determine the average amount of time it takes from when a customer enters the drive-through line until they receive their order, regardless of the time of the day and the day of the week. That is, he would like to know the true average drive-through wait time for all his customers. Which of the following methods would be most likely to estimate the desired parameter with low bias and low variability?
(A)Select a random sample of 100 customers over a period of one month, determine each selected customer’s wait time, then compute the average wait time for all 100 customers.
(B)Select a random sample of 100 customers over a weekend, determine each selected customer’s wait time, then compute the average wait time for all 500 customers.
(C) Select a random sample of 500 customers on a randomly selected weekday, determine each selected customer’s wait time, then compute the average wait time for all 500 customers.
(D)Select a random sample of 500 customers over a weekend, determine each selected customer’s wait time, then compute the average wait time for all 500 customers.
(E) Select a random sample of 500 customers over a period of one month, determine each selected customer’s wait time, then compute the average wait time for all 500 customers.

Select a random sample of 500 customers over a period of one month, determine each selected customer’s wait time, then compute the average wait time for all 500 customers.

Why sampling is important?

Sampling saves money by allowing researchers to gather the same answers from a sample that they would receive from the population.

Select a random sample of 500 customers over a period of one month, determine each selected customer’s wait time, then compute the average wait time for all 500 customers. it will help in the improve to deduce the time and might be get idea so that costumer will not wait rather than ideal time.

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