Question

In: Statistics and Probability

The restaurant owner Lobster Jack wants to find out what the peak demand periods are, during...

The restaurant owner Lobster Jack wants to find out what the peak demand periods are, during the hours of operation, in order to be better prepared to serve his customers. He thinks that, on average, 60% of the daily customers come between 6:00pm and 8:59pm (equally distributed in that time) and the remaining 40% of customers come at other times during the operating hours (again equally distributed). He wants to verify if that is true or not, so he asked his staff to write down during one week the number of customers that come into the restaurant at a given hour each day. His staff gave him the following data:

Time Day 1 Day 2 Day 3 Day 4 Day 5 Day 6 Day 7
5:00pm-5:59pm 15 19 21 20 12 15 15
6:00pm-6:59pm 30 23 24 25 28 29 26
7:00pm-7:59pm 36 29 39 35 39 30 32
8:00pm-8:59pm 29 33 23 29 24 32 27
9:00pm-9:59pm 21 20 12 19 18 14 20
10:00pm-10:59pm 12 12 15 12 10 15 14
11:00pm-11:59pm 8 7 9 10 12 12 9


Help the manager figure out if his instincts are correct or not. Use a Chi-Squared test to see if the observed distribution is similar to the expected. Use the average demand for a given time as your observed value.

Part 1:

What is the p-value of your Chi-Square test?

Parts 2:

The owner now wants you to help him analyze his sales data. The restaurant is famous for its Lobo lobster roll. You were given some information based on which you deduced that the demand for the lobster roll was normally distributed with a mean of 220 and standard deviation of 50. You also know that the lobster supplier can provide lobster at a rate that mimics a uniform distribution between 170 and 300. One Lobster is used per roll and the lobsters need to be fresh (i.e. the restaurant can only use the lobsters that are delivered that day).

You decide to run 200 simulations of 1000 days each.

1. Calculate the expected sales of Lobster roll per day based on your simulation results. I solved

201

2. Use the expected sales from each of your 200 simulations to create a confidence interval for the average expected sales. What is the 95% confidence interval, L (Your confidence interval is mean +/- L), for this estimate?

Solutions

Expert Solution

part 2:


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