Balanced scorecard is a MYTH OR REALITY
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Q.Balanced scorecard is a MYTH OR REALITY? Discuss with examples
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- Q. Balanced scorecard is a MYTH OR REALITY? Discuss with examples?Which of the following is NOT generally an area of measure in a balanced scorecard? Question 23 options: 1) Vendor 2) Customer 3) Financial 4) Learning and growthQuestion 2 Mr. Ferdinand is a well known entrepreneur who sells fresh organic beef to persons in the local community. Customers love the quality of meet that Mr. Ferdinand sells so they tend to recommend his product to other persons. Recently, Mr. Ferdinand has been running out of beef to sell to his customers. One customer suggests to him that he must use past sales records to forecast demand for his beef so that he can meet his customers demand. I Using a numerical example, demonstrate to Mr. Ferdinand how he can use a three- week and a four-week weighted moving average to forecast demand for his beef. II. Show how Mr. Ferdinand can test the accuracy of his forecast. II. Explain to Mr. Ferdinand two ways in which he can benefit from doing forecast for his beef.
- Question 2 Mr. Ferdinand is a well known entrepreneur who sells fresh organic beef to persons in the local community. Customers love the quality of meet that Mr. Ferdinand sells so they tend to recommend his product to other persons. Recently, Mr. Ferdinand has been rumning out of beef to sell to his customers. One customer suggests to him that he must use past sales records to forecast demand for his beef so that he can meet his customers demand. Using a numerical example, demonstrate to Mr. Ferdinand how he can use a three- week and a four-week weighted moving average to forecast demand for his beef. I. II. Show how Mr. Ferdinand can test the accuracy of his forecast. III. Explain to Mr. Ferdinand two ways in which he can benefit from doing forecast for his beef. 日正QUESTION 34 Suppose the actual sales and the forecasted, or smoothed sales, for the past 5 months have been Actual Smoothed 54.4 76.8 54.4 75.5 72.3 53.2 74.8 39.2 57.6 What is the Mean Absolute Error of the smoothed series? (please round your answer to 1 decimal place)QUESTION 4 In an effort to reduce energy costs, a major university has installed more efficient lights as well as automatic sensors that turn the lights off when no movement is present in a room. Historically, the cost of lighting an average classroom for 1 week has been $265. To determine whether the changes have signficantly reduced costs, the university takes a sample of 50 classrooms. They find that the average cost for 1 week is $247 with a standard deviation of $60. When testing the hypothesis (at the 5% level of significance) that the average energy use has decreased from the past, what is your conclusion concerning the null hypothesis? Reject the null hypothesis Fail to reject the null hypothesis
- QUESTION 2 In an effort to reduce energy costs, a major university has installed more efficient lights as well as automatic sensors that turn the lights off when no movement is present in a room. Historically, the cost of lighting an average classroom for 1 week has been $265. To determine whether the changes have signficantly reduced costs, the university takes a sample of 50 classrooms. They find that the average cost for 1 week is $247 with a standard deviation of $60. When testing the hypothesis (at the 5% level of significance) that the average energy use has decreased from the past, what is the test statistic? (please round your answer to 2 decimal places)QUESTION 3 In an effort to reduce energy costs, a major university has installed more efficient lights as well as automatic sensors that turn the lights off when no movement is present in a room. Historically, the cost of lighting an average classroom for 1 week has been $265. To determine whether the changes have signficantly reduced costs, the university takes a sample of 50 classrooms. They find that the average cost for 1 week is $247 with a standard deviation of $60. When testing whether the average energy use has decreased from the past (with a null hypothesis that the use has increased) (using the 5% level of significance), what is the p-value? (please round your answer to 4 decimal places)Question 1. The dean of a school of business is forecasting total student enrollment for this year (2019)'s summer session classes based on the following historical data: YEAR TOTAL ENROLLMENT y 2,000 2,200 2,800 3,000 2015 2016 2017 2018
- Question 35 Suppose the actual sales and the forecasted, or smoothed sales, for the past 5 months have been Actual Smoothed 54.4 76.8 54.4 75.5 72.3 53.2 74.8 39.2 57.6 What is the Mean Square Error of the smoothed series? (please round your answer to 1 decimal place)Question 45 Forecasting is utilized in which of the following areas? A product demand process design (c) new technology D all of the aboveQuestion-1: A company supplies several types of Ice-cream to consumer market. It has two plants. The data of year 2022 for both plants are given as follows Plant-1 $10,000 $5,000 $2,000 50000 Quality rate 90% Average Selling price $5/unit Labor cost Material cost Energy cost Unit produced Plant-2 $7,000 $7,000 $3,000 40000 95% $7/unit For year-2023, company decided to make an additional investment of $3,000 which would potentially improve the quality rate by 4% in plant-1 and 2% in plant-2. For budget limitation they can only invest in any one of the plants. Management decided to invest where multifactor productivity improvement will be higher compared to year-2022. Perform your analysis and suggest where management should invest the amount. (You may use MS Excel to perform the calculation.)