Frank’s Fast Food
Frank Furter, owner of Frank’s Fast Food, is concerned about the wait time for customers at his restaurant. He serves breakfast from 6:30 until 10:30, then the regular menu for the rest of the day. Frank assumes the distribution of wait times is normal and while the average wait times between breakfast and lunch customers are similar, Frank is concerned that the regular menu (served during the lunch time) causes more variability in the wait times. Frank had a consultant take samples and calculate the variance for wait times for breakfast and lunch customers. The consultant randomly sampled 40 breakfast wait times and 36 lunch wait times with the following results:
Breakfast s2 = 3.1 Lunch s2 = 5.2
Use the six-step hypothesis testing process. At the 0.05 significance level, is there evidence that there is more variability in the lunch wait times than breakfast wait times?
Frank’s Fast Food Frank Furter, owner of Frank’s Fast Food, is concerned about the wait time...
Frank Furter, owner of Frank’s Fast Food, is concerned about the wait time for customers at his restaurant. He serves breakfast from 6:30 until 10:30, then the regular menu for the rest of the day. Frank assumes the distribution of wait times is normal and while the average wait times between breakfast and lunch customers are similar, Frank is concerned that the regular menu (served during the lunch time) causes more variability in the wait times. Frank had a consultant...
Owner of Frank’s Fast Food, is concerned about the wait time for customers at his restaurant. He serves breakfast from 6:30 until 10:30, then the regular menu for the rest of the day. Frank assumes the distribution of wait times is normal and while the average wait times between breakfast and lunch customers are similar, Frank is concerned that the regular menu (served during the lunch time) causes more variability in the wait times. Frank had a consultant take samples...
The manager of a fast-food restaurant determines that the average time that her customers wait for service is 5.5 minutes. (a) Find the probability that a customer has to wait more than nine minutes. (Round your answer to three decimal places.) (b) Find the probability that a customer is served within the first five minutes. (Round your answer to three decimal places.) (c) The manager wants to advertise that anybody who isn't served within a certain number of minutes gets...
The mean waiting time at the drive-through of a fast-food restaurant from the time the food is ordered to when it is received is 85 seconds. A manager devises a new system that he believes will decrease the wait time. He implements the new system and measures the wait time for 10 randomly sampled orders. They are provided below: 109 67 58 76 65 80 96 86 71 72 Assume the population is normally distributed. (a) Calculate the mean and...
The waiting time until a customer is served at a fast food restaurant during lunch hours has a skewed distribution with a mean of 2.4 minutes and a standard deviation of 0.4 minute. Suppose that a random sample of 44 waiting times will be taken. Compute the probability that the mean waiting time for the sample will be longer than 2.5 minutes. Answer: (Round to 4 decimal places.)
(10 pts) The mean waiting time at the drive-through of a fast-food restaurant from the time the food is ordered to when it is received is 85 seconds. A manager devises a new system that he believes will decrease the wait time. He implements the new and measures the wait time for 10 randomly sampled orders. They are provided below: system 109 67 58 76 65 80 96 86 71 72 Assume the population is normally distributed. (a) Calculate the...
Margaret manages a fast food restaurant and she is concerned about customers who ask for a water cup when placing an order but fill the cup with a soft drink from the beverage fountain instead of filling the cup with water. She selected a random sample of 90 customers who asked for a water cup when placing an order and found that 33 of those customers filled the cup with a soft drink from the beverage fountain. Construct 95 percent...
3. Let th e random variable Ti denote the time you must wait to place your order in a fast-food restaurant, let Tz denote the time that it takes to place your order after you reach the counter, let s denote the time that it takes to receive vour food after you've placed your order, and let T enote the time that it takes to east vour food after you've received it. Assume that all of these random variables are...
The Burger Dome waiting line model studies the waiting time of customers at its fast-food restaurant. Burger Dome's single-server waiting line system has an arrival rate of 0.75 customers per minute and a service rate of 1 customer per minute. Adapt the Black Sheep Scarves spreadsheet shown below to simulate the operation of this waiting line. Make sure to use the random values for both interarrival and service times generated in the worksheet_12-23. Assuming that customer arrivals follow a Poisson...
The mean waiting time at the drive-through of a fast-food restaurant from the time an order is placed to the time the order is received is 84.7 seconds, A manager devises a new drive-through system that he believes will decrease want time. As a test, he initiates the new system at his restaurant and measures the wait time for 10 randomly selected orders. The wait times are provided in the table to the right. Complete parts(a) and (b). 101.9 ,...