Question

In: Statistics and Probability

The marketing director of a large department store wants to estimate the average number of customers...

The marketing director of a large department store wants to estimate the average number of customers who enter the store every five minutes. She randomly selects five-minute intervals and counts the number of arrivals at the store. She obtains the figures 52, 32, 41, 49, 56, 80, 46, 29, 32, and 71. The analyst assumes the number of arrivals is normally distributed. Using these data, the analyst computes a 95% confidence interval to estimate the mean value for all five-minute intervals. What interval values does she get?


(Round the intermediate values to 2 decimal places. Round your answers to 2 decimal places.)

Solutions

Expert Solution

It is given that:

The marketing director of a large department store wants to estimate the average number of customers who enter the store every five minutes. She randomly selects five-minute intervals and counts the number of arrivals at the store. She obtains the figures 52, 32, 41, 49, 56, 80, 46, 29, 32, and 71. The analyst assumes the number of arrivals is normally distributed.

The sample size is .

The sample mean is obtained as:

The sample standard deviation is obtained as:

The analyst assumes the number of arrivals (population) is normally distributed and the population standard deviation is unkwown.

The level of confidence is given as:

The level of significance can be obtained as:

The critical value that should be used in constructing the confidence interval for population mean is based on t-distribution as the population standard deviation is unknown.

Therefore, its value can be obtained using statistical tables as:

The formula to construct the 95% confidence interval to estimate the mean value for all five-minute intervals is:

The lower endpoint of the interval is:

The upper endpoint of the interval is:

Therefore, the 95% confidence interval to estimate the mean value for all five-minute intervals is .


Related Solutions

The marketing director of a large department store wants to estimate the average number of customers...
The marketing director of a large department store wants to estimate the average number of customers who enter the store every five minutes. She randomly selects five-minute intervals and counts the number of arrivals at the store. She obtains the figures 56, 32, 41, 49, 56, 80, 42, 29, 32, and 70. The analyst assumes the number of arrivals is normally distributed. Using these data, the analyst computes a 95% confidence interval to estimate the mean value for all five-minute...
The marketing director of a large department store wants to estimate the average number of customers...
The marketing director of a large department store wants to estimate the average number of customers who enter the store every five minutes. She randomly selects five-minute intervals and counts the number of arrivals at the store. She obtains the figures 56, 32, 41, 49, 56, 80, 42, 29, 32, and 70. The analyst assumes the number of arrivals is normally distributed. Using these data, the analyst computes a 95% confidence interval to estimate the mean value for all five-minute...
The marketing director of a large department store wants to estimate the average number of customers...
The marketing director of a large department store wants to estimate the average number of customers who enter the store every five minutes. She randomly selects five-minute intervals and counts the number of arrivals at the store. She obtains the figures 51, 32, 41, 47, 56, 80, 49, 29, 32, and 80. The analyst assumes the number of arrivals is normally distributed. Using these data, the analyst computes a 95% confidence interval to estimate the mean value for all five-minute...
The owner of a large equipment rental company wants to estimate the average number of days...
The owner of a large equipment rental company wants to estimate the average number of days a piece of equipment is rented out. A random sample of 14 rental invoices reveals the following number of days; 3       1       3       2       5       1       2       1     4       2       1       3       1       1 a. Determine the sample mean. b. Determine the sample standard deviation. c. Using the 99% level of confidence, determine the confidence interval for the population mean.
Customers enter the camera department of a store with an average of 14 minutes between customers....
Customers enter the camera department of a store with an average of 14 minutes between customers. The department is staffed by one employee, who can handle an average of 13 customers per hour. Assume this is a simple Poisson arrival, exponentially distributed service time situation. Find the following information to help the manager decide if a second employee should be added: The average number of customers waiting. Please keep 4 decimals. The average time a customer waits (in minutes). Please...
Customers enter the camera department of a store with an average of 14 minutes between customers....
Customers enter the camera department of a store with an average of 14 minutes between customers. The department is staffed by one employee, who can handle an average of 13 customers per hour. Assume this is a simple Poisson arrival, exponentially distributed service time situation. Find the following information to help the manager decide if a second employee should be added: The average number of customers waiting. Please keep 4 decimals. The average time a customer waits (in minutes). Please...
Customers arrive at a department store according to a Poisson process with an average of 12...
Customers arrive at a department store according to a Poisson process with an average of 12 per hour. a. What is the probability that 3 customers arrive between 12:00pm and 12:15pm? b. What is the probability that 3 customers arrive between 12:00pm and 12:15pm and 6 customers arrive between 12:30pm and 1:00pm? c. What is the probability that 3 customers arrive between 12:00pm and 12:15pm or 6 customers arrive between 12:30pm and 1:00pm? d. What is the probability that a...
Suppose the number of customers arriving at a store obeys a Poisson distribution with an average...
Suppose the number of customers arriving at a store obeys a Poisson distribution with an average of λ customers per unit time. That is, if Y is the number of customers arriving in an interval of length t, then Y∼Poisson(λt). Suppose that the store opens at time t=0. Let X be the arrival time of the first customer. Show that X∼Exponential(λ).
Customers enter the camera department of a store at an average rate of five per hour....
Customers enter the camera department of a store at an average rate of five per hour. The department is staffed by one employee, who takes an average of 8.0 minutes to serve each arrival. Assume this is a simple Poisson arrival, exponentially distributed service time situation. (Use the Excel spreadsheet Queue Models.) a-1. As a casual observer, how many people would you expect to see in the camera department (excluding the clerk)? (Round your answer to 2 decimal places.) a-2....
Customers enter the camera department of a store at the average rate of eight per hour....
Customers enter the camera department of a store at the average rate of eight per hour. The department is staffed by one employee, who takes an average of 3.0 minutes to serve each arrival. Assume this is a simple Poisson arrival, exponentially distributed service time situation. Use Exhibit 10.9. a-1. As a casual observer, how many people would you expect to see in the camera department (excluding the clerk)? (Round your answer to 2 decimal places.) a-2. How long would...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT