Question

In: Statistics and Probability

A fast-food restaurant manager wants to see the average bill per car passing through the drive-thru...

A fast-food restaurant manager wants to see the average bill per car passing through the drive-thru increase. Historically, cars spend an average of $12.39. After implementing the new process employees must follow for each car in the drive-thru, the manager randomly selects 40 cars and finds the mean bill is $12.87 with a standard deviation of $3.92. Does this sample evidence suggest the new process results in a higher ticket price per car? Use a 0.05 level of significance.

Solutions

Expert Solution


Related Solutions

The manager of a fast-food restaurant wants to reduce the proportion of drive-through customers who have...
The manager of a fast-food restaurant wants to reduce the proportion of drive-through customers who have to wait longer than 2 minutes to receive their food after placing an order. Based on store records, the proportion of customers who had to wait longer than 2 minutes was p = 0.63. To reduce this proportion, the manager assigns an additional employee to assist with drive-through orders. During the next month, the manager will collect and random sample of drive through times...
Develop Process architecture for a fast food restaurant such MacDonalds. (ignore drive thru)
Develop Process architecture for a fast food restaurant such MacDonalds. (ignore drive thru)
The average time between arrivals of customers at a fast food restaurant drive through is 4...
The average time between arrivals of customers at a fast food restaurant drive through is 4 minutes. Assuming an exponential distribution, what is the probability that the next customer arrives in less than 3 minutes? Group of answer choices 39.35% 52.76% 47.24% 60.65% 75.00% If u can please show excel input
In a drive-thru fast food restaurant, customers arrive with an interarrival time of 6 minutes. The...
In a drive-thru fast food restaurant, customers arrive with an interarrival time of 6 minutes. The drive-thru operates in just a single file line so only one customer’s order is processed at once. The drive-thru has an average service time of 4 minutes. What is the steady-state utilization of the drive-thru? What is the average time in system per customer? What is the probability of there being exactly 1 customer in the queue?
A random sample of 42 cars in the drive-thru of a popular fast food restaurant revealed...
A random sample of 42 cars in the drive-thru of a popular fast food restaurant revealed an average bill of $17.29 per car. The population standard deviation is $5.22. Estimate the mean bill for all cars from the drive-thru with 97% confidence. Round intermediate and final answers to two decimal places
A random sample of 40 cars in the drive−thru of a popular fast food restaurant revealed...
A random sample of 40 cars in the drive−thru of a popular fast food restaurant revealed an average bill of $16.10 per car. The population standard deviation is $4.79. Estimate the mean bill for all cars from the drive−thru with 91% confidence. Use a graphing calculator and round the answers to two decimal places.
A simple random sample of 20 cars in the drive-thru of a popular fast food restaurant...
A simple random sample of 20 cars in the drive-thru of a popular fast food restaurant had an average bill of $18.21 per car. Suppose the distribution of the drive-thru bills is distributed normally with a standard deviation (σ) of $5.89 per car. Constructing a (90%, 95% , or 99%) confidence interval for the µ. a: How do you explain µ? or What is µ in your study? What are you looking for? b: What confidence level have you chose?...
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 257 accurate...
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 257 accurate orders and 73 that were not accurate. a. Construct a 95​% confidence interval estimate of the percentage of orders that are not accurate. b. Compare the results from part​ (a) to this 95​% confidence interval for the percentage of orders that are not accurate at Restaurant​ B: 0.202less thanpless than0.284. What do you​ conclude? a. Construct a 95​% confidence interval. Express the percentages in...
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 341accurate orders...
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 341accurate orders and 57 that were not accurate. Construct a 90​% confidence interval estimate of the percentage of orders that are not accurate. a. Construct a 90​% confidence interval. Express the percentages in decimal form. ------------- <p<------------- ​(Round to three decimal places as​ needed.) b. Compare the results from part​ (a) to this 90​% confidence interval for the percentage of orders that are not accurate at...
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 284 accurate...
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 284 accurate orders and 67 that were not accurate. a. Construct a 90​% confidence interval estimate of the percentage of orders that are not accurate. b. Compare the results from part​ (a) to this 90​% confidence interval for the percentage of orders that are not accurate at Restaurant​ B: 0.172 < p< 0.237. What do you​ conclude? Please help.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT