Answer:
(b) the total number of stores visited and the average time spent in each store
(e) the average wait time to make a purchase and the number of cashiers working in a store
Step-by-step explanation:
Time and distance are often proportional. Cost and number of purchases are often proportional. The fraction of cash customers is approximately constant.
When total time is finite, the time spent at a place will be approximately inversely related to the number of places visited.
If service time is constant, the average rate of serving customers will be inversely related to the number of servers (cashiers). We might presume wait time to be related to the rate of serving customers, so we expect wait times to go up when servers go down.
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<em>Additional comment</em>
If we assume all customers are served, the average rate of service must equal the average rate of arrival of customers. Wait time, therefore, will depend on the distributions of arrival times and service times. (It might be consistently zero, if requests for service are appropriately distributed.)
While we can say rate of service is related to the number of servers, we cannot really make any generalization about wait time without knowing how requests for service are distributed in time.
