The Shewhart chart is often applied in combination with cumulative sum control chart techniques. Explain why.
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QUESTION 6. The Shewhart chart is often applied in combination with cumulative sum control chart techniques. Explain why.
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- 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 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 Completion Status: QUESTION 1 List nested geographic units used by the United States Census Bureau in order from largest to smallest. v Blocks v States v Block groups v Counties v Tracts Nation
- 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 hypothesisQUESTION 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 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 30 The following tabulations are actual sales and forecasts for 6 months. What is ME (Mean Error) at the end of June? (carry to 2 decimal places) Month January February March April May June Demand 408 395 405 420 430 388 Forecast 400.00 403.20 399.92 401.95 409.17 417.50Question 2: Discuss the eight demand states with respect to bifocal lenses for glasses.Question 45 Forecasting is utilized in which of the following areas? A product demand process design (c) new technology D all of the above
- Question 11 Time series forecast analyze data obtained from past experience True FalseQuestion 10 Which of these represent non-scheduled report needed at the moment by management? Scheduled report Key-indicator report Exception report Demand reportQUESTION 2 The number of patients coming to the Healthy Start Maternity clinic has been increasing steadilyover the past eight months. You are provided with some historical data as follows: Month Clinic attendance (in thousands)1 3.42 3.93 4.54 5.05 5.86 5.97 6.58 6.7 a. Identify and give a brief explanation of the:-i. Dependent variableii. Independent variable b. Use simple linear regression to forecast annual demand for months 9 and 10 by using thetabular method to:-i. Derive the values for the intercept and slope. ii. Derive the linear regression equation. iii. Plot the linear regression line. iv. Develop a forecast of the clinic attendance for months 9 and 10.