a. How many people visited one of the three coffee shops on Monday? b. What percent of people visited either PlanetEuro or Frothies on Monday? c. If Alicia had been able to achieve the same percentage of visitors for the entire week as she does on Monday, how many ADDITIONAL people would then visit Cool Beans?
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a. How many people visited one of the three coffee shops on Monday?
b. What percent of people visited either PlanetEuro or Frothies on Monday?
c. If Alicia had been able to achieve the same percentage of visitors for the entire week as she does on Monday, how many ADDITIONAL people would then visit Cool Beans?
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- After working for years as a regional manager for a retail organization, Scott Parry opened his own business with Susan Gonzalez, one of his district managers, as his partner. They formed S&S to sell appliances and consumer electronics. Scott and Susan pursued a “clicks and bricks” strategy by renting a building in a busy part of town and adding an electronic storefront. Scott and Susan invested enough money to see them through the first six months. They will hire 15 employees within the next two weeks – three to stock the shelves, four sales representatives, six checkout clerks, and two to develop and maintain the electronic storefront. Scott and Susan will host S&S’s grand opening in five weeks. To meet that deadline, they have to address the following important issues: 16. What business processes are needed, and how should they be carried out? 17. What functionality should be provided on the website?Richard runs a small coffee stand offering standard coffee (with or without milk) during the mornings on campus. The following are the costs per cup of coffee compiled for July. July Number of cups sold 1,000 Cost of disposable cups $1,000 Cost of coffee $200 Cost of milk and sugar $20 Rental of coffee stand $250 Rental of coffee machine $100 Salary of staff $800 Total cost $2,370 Cost of coffee per cup $2.37 Average selling price per cup of coffee $3.00 Profit per cup $0.63 In August, number of cups sold was only 60% that of July. Based on the profit per cup, Richard expects a profit of $378.00 ($0.63 x 600). (a) Using cost behaviour analysis, explain why Richard should not earn $378.00 for August. Compute the correct profit/ loss for August if costs and selling price remained unchanged? (b) Richard is thinking of expanding his coffee business to 10 other university and polytechnic campuses.…Heavenly Chocolates manufactures and sells quality chocolate products at its plant and retail store located in Saratoga Springs, New York. Two years ago, the company developed a web site and began selling its products over the Internet. Web-site sales have exceeded the company’s expectations, and management is now considering strategies to increase sales even further. To learn more about the web-site customers, a sample of 50 Heavenly Chocolate transactions was selected from the previous month’s sales. Data showing the day of the week each transaction was made, the type of browser the customer used, the time spent on the web site, the number of web pages viewed, and the amount spent by each of the 50 customers are contained in the file named Heavenly Chocolates. A portion of the data is shown in the table that follows: Heavenly Chocolates would like to use the sample data to determine whether online shoppers who spend more time and view more pages also spend more money during their visit to the web site. The company would also like to investigate the effect that the day of the week and the type of browser have on sales. Managerial Report Use the methods of descriptive statistics to learn about the customers who visit the Heavenly Chocolates web site. Include the following in your report. Graphical and numerical summaries for the length of time the shopper spends on the web site, the number of pages viewed, and the mean amount spent per transaction. Discuss what you learn about Heavenly Chocolates’ online shoppers from these numerical summaries. Summarize the frequency, the total dollars spent, and the mean amount spent per transaction for each day of week. Discuss the observations you can make about Heavenly Chocolates’ business based on the day of the week? Summarize the frequency, the total dollars spent, and the mean amount spent per transaction for each type of browser. Discuss the observations you can make about Heavenly Chocolates’ business based on the type of browser? Develop a scatter diagram, and compute the sample correlation coefficient to explore the relationship between the time spent on the web site and the dollar amount spent. Use the horizontal axis for the time spent on the web site. Discuss your findings. Develop a scatter diagram, and compute the sample correlation coefficient to explore the relationship between the number of web pages viewed and the amount spent. Use the horizontal axis for the number of web pages viewed. Discuss your findings. Develop a scatter diagram, and compute the sample correlation coefficient to explore the relationship between the time spent on the web site and the number of pages viewed. Use the horizontal axis to represent the number of pages viewed. Discuss your findings.
- Hogs & Dawgs is an ice cream parlor on the border of north-central Louisiana and southern Arkansas that serves 43 flavors of ice creams, sherbets, frozen yogurts, and sorbets. During the summer Hogs & Dawgs is open from 1:00 p.m. to 10:00 p.m. on Monday through Saturday, and the owner believes that sales change systematically from hour to hour throughout the day. She also believes her sales increase as the outdoor temperature increases. Hourly sales and the outside temperature at the start of each hour for the last week are provided in the file IceCreamSales. Construct a time series plot of hourly sales and a scatter plot of outdoor temperature and hourly sales. What types of relationships exist in the data? Use a simple regression model with outside temperature as the causal variable to develop an equation to account for the relationship between outside temperature and hourly sales in the data. Based on this model, compute an estimate of hourly sales for today from 2:00 p.m. to 3:00 p.m. if the temperature at 2:00 p.m. is 93°F. Use a multiple linear regression model with the causal variable outside temperature and dummy variables as follows to develop an equation to account for both seasonal effects and the relationship between outside temperature and hourly sales in the data in the data: Hour1 = 1 if the sales were recorded between 1:00 p.m. and 2:00 p.m., 0 otherwise; Hour2 = 1 if the sales were recorded between 2:00 p.m. and 3:00 p.m., 0 otherwise; Hour8 = 1 if the sales were recorded between 8:00 p.m. and 9:00 p.m., 0 otherwise. Note that when the values of the 8 dummy variables are equal to 0, the observation corresponds to the 9:00-to-l0:00-p.m. hour. Based on this model, compute an estimate of hourly sales for today from 2:00 p.m. to 3:00 p.m. if the temperature at 2:00 p.m. is 93°F. Is the model you developed in part (b) or the model you developed in part (c) more effective? Justify your answer.After working for years as a regional manager for a retail organization, Scott Parry opened his own business with Susan Gonzalez, one of his district managers, as his partner. They formed Scott and Susan (S&S) to sell appliances and consumer electronics. S&S pursued a “clicks and bricks” strategy by renting a building in a busy part of to`wn and adding an electronic storefront. S&S invested enough money to see them through the first six months. They will hire 15 employees within the next two weeks – three to stock the shelves, four sales representatives, six checkout clerks, and two to develop and maintain the electronic storefront. S&S will host its grand opening in five weeks. To meet that deadline, they have to address the following important issues: 17. What decisions do they need to make to be successful and profitable? 18. What information do S&S need to make those decisions?Cool Beans is a locally owned coffee shop that competes with two large coffee chains, PlanetEuro and Frothies. Alicia, the owner, is considering two different marketing promotions and thinks that CLV analysis will help her decide the best course of action. An average specialty coffee drink sells for $4.08 and has a margin of 74%. One promotion is providing loyalty cards to her regular customers that would give them one free specialty coffee drink after 10 regular purchases. Alicia estimates that this will increase the frequency of their purchases by 8%. Currently, her customers average buying 2 specialty drinks per week. The second promotion is targeted at new customers. She would offer a free specialty drink to incoming college freshmen by providing a coupon with their orientation packages. Because of her location near the college, she expects that 550 students will come to Cool Beans for a free trial. Of those, she anticipates that 16% will become regular customers who will purchase…
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