A financial consultant has an average of seven customers he consults with each day; assume a Poisson distribution. The consultant's overhead requires that he consult with at least five customers per day for his fees to cover his expenses. Use the Excel Random Number Generation tool to generate 100 samples of the number of customers that the financial consultant will have on a daily basis. What percentage of these will meet his target of at least five? Use a seed of 7.

A financial consultant has an average of seven customers he consults with each day; assume a Poisson distribution. The consultant's overhead requires that he consult with at least five customers per day for his fees to cover his expenses. Use the Excel Random Number Generation tool to generate 100 samples of the number of customers that the financial consultant will have on a daily basis. What percentage of these will meet his target of at least five? Use a seed of 7.

Essentials of Business Analytics (MindTap Course List)

2nd Edition

ISBN:9781305627734

Author:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson

Publisher:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson

Chapter7: Linear Regression

Section: Chapter Questions

Problem 4P: A sociologist was hired by a large city hospital to investigate the relationship between the number...

See similar textbooks

Similar questions

You have recently hired an equipment operator for $30.00 per hour. To determine his/her billing rate you simply multiply $30.00 by 1.20 to ensure you get a 20% profit margin. Is this process correct?
Historical data show that customers who download music from a popular Web service spend approximately $20 per month, with a standard deviation of $3. Assume the spending follows the normal probability distribution. Find the probability that a customer will spend at least $18 per month. How much (or more) do the top 7% of customers spend? What is the probability that a customer will spend at least $18 per month? 0.7475 (Round to four decimal places as needed.) How much do the top 7% of customers spend? (Round to the nearest cent as needed.)
A sociologist was hired by a large city hospital to investigate the relationship between the number of unauthorized days that employees are absent per year and the distance (miles) between home and work for the employees. A sample of 10 employees was chosen, and the following data were collected. a. Develop a scatter chart for these data. Does a linear relationship appear reasonable? Explain. b. Use the data to develop an estimated regression equation that could be used to predict the number of days absent given the distance to work. What is the estimated regression model? c. What is the 99% confidence interval for the regression parameter 1? Based on this interval, what conclusion can you make about the hypotheses that the regression parameter 1 is equal to zero? d. What is the 99% confidence interval for the regression parameter 0? Based on this interval, what conclusion can you make about the hypotheses that the regression parameter 0 is equal to zero? e. How much of the variation in the sample values of number of days absent does the model you estimated in part (b) explain?
What is the implied service rate at a bank teller's window if demand is 26 customers per hour, and the bank staffs 3 tellers with an average utilization of 80%?
A major credit card company is launching a referral program, which gives an existing customer $50 for each new customer he or she refers to the company. The credit card company estimates that the average annual spending of a customer is $15,000, and the revenue for the credit card company would be 5% of the spending. The estimated marketing and operations costs for the referral program is $500,000 per year. a. Build a spreadsheet model for the credit card company to estimate the annual increase in profit gained from the referral program. If the referral program helps the credit card company acquire 25,000 new customers, what is the annual increase in profit gained from the referral program. Assume all new customers are acquired at the beginning of the year. Profit increase b. It is estimated that 10% of the customers acquired through the referral program would have become customers of the credit card company even without the referral program. How does this information change the…
I need help to do question 9 from A to D and please include the formulas on how to solve using Excel and the answer for the Finance homework.
You run a software development business where customers require immediate technical support. You plan to target 1,092 users this month of which 12.22% will convert and become customers. Each customer will require about 48 minutes of phone support per month from the first month. You plan to recruit the support staff on an hourly basis for $27.7 per hour plus 21.3% in benefits. For every 30 minutes of phone support, each support staff will be entitled to another 15 minutes of administrative and email/messaging support time. How much is the monthly support expense for the customers targeted this month assuming no churn? Options: $5,380 $5,515 $5,649 $5,784 $5,918
You may need to use the appropriate appendix table or technology to answer this question. A government agency provides the number of miles that residents of the 75 largest metropolitan areas travel per day in a car. Suppose that for a simple random sample of 50 City A residents the mean is 22.9 miles a day and the standard deviation is 8.7 miles a day, and for an independent simple random sample of 40 City B residents the mean is 18.6 miles a day and the standard deviation is 7.7 miles a day. (a) What is the point estimate of the difference between the mean number of miles that City A residents travel per day and the mean number of miles that City B residents travel per day? (Use City A − City B.) __________ mi/day
Suppose an average of 240 trucks arrive each day, there are fourfour wellhead pumps, and each pump can serve an average of 3 trucks per hour. What is the probability that exactly 10trucks will arrive between 2:00 p.m. and 4:00 p.m. on any given day? How likely is it that once a truck is in position at a wellhead, the filling time will be less than 15 minutes? The probablity that 1010 trucks will arrive between 22:00 p.m. and 44:00 p.m. is .58%. The probability that the filling time for the truck being served will be less than 15 minutes is ___%
Chris LeBlanc estimates that if he does 4.5 hours of research using data that will cost $175.00, there is a good chance that he can improve his expected return on a $10,000, 1-year investment from 6.2% to 9.2%. Chris feels that he must earn at least $30.00 per hour on the time he devotes to his research. a. Find the cost of Chris's research. b. By how much (in dollars) will Chris's return increase as a result of the research? c. On a strict economic basis, should Chris perform the proposed research?
Suppose that you have been given a summer job as an intern at Issac Aircams, a company that manufactures sophisticated spy cameras for remote-controlled military reconnaissance aircraft. The company, which is privately owned, has approached a bank for a loan to help finance its growth. The bank requires financial statements before approving the loan. Required: Classify each cost listed below as either a product cost or a period cost for the purpose of preparing financial statements for the bank. 8 00-45-49 Costs Product Cost / Period Cost 1. Depreciation on salespersons' cars. 2. Rent on equipment used in the factory. 3 lubricants used for machine maintenance Salaries of personnel who work in the finished goods warehouse 5. Soap and paper towels used by factory workers at the end of a shift. 6. Factory supervisors' salaries. 7. Heat, water, and power consumed in the factory. 8. Materials used for boxing products for shipment overseas. (Units are not normally boxed.) 9. Advertising…
The Paymore Rental Car Agency rents cars in a small town. It wants to determine how many rental cars it should maintain. Based on market projections and historical data, the manager has determined probability distributions for the number of rentals per day and rental duration (in days only) as shown in the following tables: Number of customers per day Probability 0 .20 1 .20 2 .50 3 .10 Rental duration in days Probability 1 .10 2 .30 3 .40 4 .10 5 .10 Design a simulation experiment for the car agency and simulate using a fleet of four rental cars for 10 days. Compute the probability that the agency will not have a car available upon demand. Should the agency expand its fleet? Explain how a simulation experiment could be designed to determine the optimal fleet size for the Paymore Agency. Use the following random numbers in order (from left to right) for the simulation of number of customers per day: 0.62 0.48 0.96 0.86 0.86 0.29 0.79 0.22 0.08 0.62…