Azure Bay Resort's housekeeping supply tracking reveal the following year-end data is below. Projected usage: 12,000 units Actual consumption: 10,800 units Standard allowance: 5% variance Room occupancy remained stable at 85%. The department head needs to examine adherence to consumption standards. a) Below standard b) Within standard c) Above standard d) Requires review
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- The Port Authority sells a wide variety of cables and adapters for electronic equipment online. Last year the mean value of orders placed with the Port Authority was 47.28, and management wants to assess whether the mean value of orders placed to date this year is the same as last year. The values of a sample of 49,896 orders placed this year are collected and recorded in the tile PortAuthority. a. Formulate hypotheses that can be used to test whether the mean value of orders placed this year differs from the mean value of orders placed last year. b. Use the data in the file PortAuthority to conduct your hypothesis test. What is the p value for your hypothesis test? At = 0.01, what is your conclusion?Johnson Filtration. Inc., provides maintenance service for water filtration systems throughout southern Florida. Customers contact Johnson with requests for maintenance service on their water filtration systems. To estimate the service time and the service cost. Johnson’s managers want to predict the repair time necessary for each maintenance request. Hence, repair time in hours is the dependent variable. Repair time is believed to be related to three factors: the number of months since the last maintenance service, the type of repair problem (mechanical or electrical), and the repairperson who performs the repair (Donna Newton or Bob Jones). Data for a sample of 10 service calls are reported in the following table: Develop the simple linear regression equation to predict repair time given the number of months since the last maintenance service, and use the results to test the hypothesis that no relationship exists between repair time and the number of months since the last maintenance service at the 0.05 level of significance. What is the interpretation of this relationship? What does the coefficient of determination tell you about this model? Using the simple linear regression model developed in part (a), calculate the predicted repair time and residual for each of the 10 repairs in the data. Sort the data in ascending order by value of the residual. Do you see any pattern in the residuals for the two types of repair? Do you see any pattern in the residuals for the two repairpersons? Do these results suggest any potential modifications to your simple linear regression model? Now create a scatter chart with months since last service on the x-axis and repair time in hours on the y-axis for which the points representing electrical and mechanical repairs are shown in different shapes and/or colors. Create a similar scatter chart of months since last service and repair time in hours for which the points representing repairs by Bob Jones and Donna Newton are shown in different shapes and/or colors. Do these charts and the results of your residual analysis suggest the same potential modifications to your simple linear regression model? Create a new dummy variable that is equal to zero if the type of repair is mechanical and one if the type of repair is electrical. Develop the multiple regression equation to predict repair time, given the number of months since the last maintenance service and the type of repair. What are the interpretations of the estimated regression parameters? What does the coefficient of determination tell you about this model? Create a new dummy variable that is equal to zero if the repairperson is Bob Jones and one if the repairperson is Donna Newton. Develop the multiple regression equation to predict repair time, given the number of months since the last maintenance service and the repairperson. What are the interpretations of the estimated regression parameters? What does the coefficient of determination tell you about this model? Develop the multiple regression equation to predict repair time, given the number of months since the last maintenance service, the type of repair, and the repairperson. What are the interpretations of the estimated regression parameters? What does the coefficient of determination tell you about this model? Which of these models would you use? Why?Please need your help to prepare performance report out of this information..
- Ohio Logistics manages the logistical activities for firms by matching companies that need products shipped with carriers that can provide the best rates and best service for the companies. Ohio Logistics is very concerned that its carriers deliver their customers material on time, so it carefully monitors the percentage of on-time deliveries. The following table contains a list of the carriers used by Ohio Logistics and the corresponding on-time percentages for the current and previous years. a. Sort the carriers in descending order by their current years percentage of on-time deliveries. Which carrier is providing the best service in the current year? Which carrier is providing the worst service in the current year? b. Calculate the change in percentage of on-time deliveries from the previous to the current year for each carrier. Use Excels conditional formatting to highlight the carriers whose on-time percentage decreased from the previous year to the current year. c. Use Excels conditional formatting tool to create data bars for the change in percentage of on-time deliveries from the previous year to the current year for each carrier calculated in part b. d. Which carriers should Ohio Logistics try to use in the future? Why?Norris Company implemented a quality improvement program and tracked the following for the 5 years: By cost category of sales for the same period of time: Required: 1. Prepare a bar graph (hat reveals the trend in quality cost as a percentage of sales (time on horizontal axis and percentages on the vertical). Comment on the message of the graph. 2. Prepare a bar graph for each cost category as a percentage of sales. What does this graph tell you?Ethics in Action In August, Lannister Company introduced a new performance measurement system in manufacturing operations. One of the new performance measures is lead time, which is determined by tagging a random sample of items with a log sheet throughout the month. The log sheets recorded the time that the sample items started production and the time that they ended production, as well as all steps in between. At the end of the month, the controller collected the log sheets and computed the average lead time of the tagged products. This number was reported to central management and was used to evaluate the performance of the plant manager. Because of the poor lead time results reported for August, the plant was under extreme pressure to reduce lead time in September. The following memo was intercepted by the controller. Date: September 3 To: Hourly Employees From: Plant Manager During last month, you may have noticed that some of the products were tagged with a log sheet. This sheet records the time that a product enters production and the time that it leaves production. The difference between these two times is termed the lead time. Our plant is evaluated on improving lead time. From now on, I ask all of you to keep an eye out for the tagged items. When you see a tagged item, it is to receive special attention. Work on that item first, and then immediately move it to the next operation. Under no circumstances should tagged items wait on any other work that you have. Naturally, report accurate information. I insist that you record the correct times on the log sheet as the product goes through your operations. How should the controller respond to this discovery?
- In this task you are provided with an excel file with 2 spread sheets (Budgeted Rooms Revenue Sheet, Actual Rooms Revenue sheet) with the actual figures on the rooms for a given quarter. You are required to calculate the actual revenue that has been generated for each month in the given quarter based on the actual occupancy rate. Calculate the following details using the appropriate sheet as per the given instructions Budgeted Rooms Revenue Sheet Refer to the projected data sheet. In this sheet first calculate the total projected/forecasted revenue per room type for all 365 days. You are also required to calculate total projected/forecasted revenue per room type for each month for Jan, Feb and Mar. Calculate the total rooms for each month Calculate the Total Revenue for all room types for each month Calculate the total projected revenue for 3 months (Jan, Feb and Mar) Actual Rooms Revenue Sheet In this sheet you are provided with the Actual occupancy for each month. Calculate the…Quality costs indices are often used to measure costs of quality relative to some financial measure, such as percent of sales. The following information on sales and quality costs were incurred in January 2024: Sales $510,000 Materials Inspection $43,500 Direct Materials Costs $70,000 Direct Labor Training $11,600 Direct Labor Costs $48,000 Batch Sampling Costs $7,800 Scrap and Rework Costs $16,400 Cost of Returns and Warranty $10,200 What is the quality of cost index? Answer in decimal format (i.e. O.XXX)Quality costs indices are often used to measure costs of quality relative to some financial measure, such as percent of sales. The following information on sales and quality costs were incurred in December 2023: Sales $350,000 Materials Inspection $23,500 Direct Materials Costs $80,000 Direct Labor Costs $35,000 Batch Sampling Costs $6,400 Scrap and Rework Costs $16,800 Cost of Returns and Warranty $14,200 What is the quality of cost index? Answer in decimal format (i.e. 0.XXX)
- Please creat an Excel spreadsheet with the marketing expenses and revenue data for the previous 10 quartersB.Perform regression analysis to determine the relationship between marketing expenses and revenueC.Using the regression results, creat a graph that plots the data provided along with predicted revenue and 90% confidence interval linesD.Forecast revenue for the next quarter if marketing expenses are budgeted as follows:i.$55,000ii.$65,000iii.$75,000iv.$85,000E.Is this a good representational model? Quantify your answerRoss Company implemented a quality improvement program and tracked the following for the five years: By cost category as a percentage of sales for the same period of time: Required: 1. Prepare a bar graph that reveals the trend in quality cost as a percentage of sales (time on the horizontal axis and percentages on the vertical). Comment on the message of the graph. 2. Prepare a bar graph for each cost category as a percentage of sales. What does this graph tell you? 3. What if management would like to have the trend in relative distribution of quality costs? Express this as a bar graph and comment on its significance.Pintura Company implemented a quality improvement program and tracked the following for the five years: By cost category as a percentage of sales for the same period of time: Required: 1. Prepare a bar graph that reveals the trend in quality cost as a percentage of sales (time on the horizontal axis and percentages on the vertical). Comment on the message of the graph. 2. Prepare a bar graph for each cost category as a percentage of sales. What does this graph tell you?
