Question: Again, working with the data in Problem, the number of cars that arrive in each 10-minute period is another factor that will determine whether there will be the capacity to handle the drive-thru business. In addition to studying the service times, the owners also counted the number of cars that arrived at the deli in the nearby town in a sample of 10-minute time periods. These data are as follows:
Based on these data, is there evidence to conclude that the arrivals are not Poisson distributed? State the appropriate null and alternative hypotheses and test using a significance level of 0.025.
Problem: The owners of Big Boy Burgers are considering remodeling their facility to include a drive-thru: window. There will be room for three cars in the drive-thru line if they build it. However, they are concerned that the capacity may be too low during their busy lunchtime hours between 11:00 a.m. and 1:30 p.m. One of the factors they need to know is the distribution of the length of time it takes to fill an order for cars coming to the drive-thru. To collect information on this, the owners have received permission from a similar operation owned by a relative in a nearby town to collect some data at that drive-thru. The data in the file called Clair's Deli reflect the service time per car. Based on these sample data, is there sufficient evidence to conclude that the distribution of service time is not normally distributed? Test using the chisquare distribution and = 0.05.