The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks:a) The forecasted demand for the week of October 12 using a 3-week moving average =Week OfAugust 31September 7September 14September 21September 28October 5pints (round your response to two decimal places).Pints Used345389408381371374

The forecast for a period is based on the average of the actual data of previous 3 periods…

Answered: The following table gives the number of…

Practical Management Science

6th Edition

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Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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Below is the number of complaints received in a department store for the first six months of operation: Month Complaints January February March April May June 37 48 84 96 114 148 If a three-month moving average is used to smooth this series, what would have been the forecast for July, rounded to the nearest whole number?
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The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week Of August 31 September 7 September 14 September 21 September 28 October 5 Week Of a) The forecasted demand for the week of October 12 using a 3-week moving average = pints (round your response to two decimal places). b) Using a 3-week weighted moving average, with weights of 0.10, 0.35, and 0.55, using 0.55 for the most recent week, the forecasted demand for the week October 12 pints (round your response to two decimal places and remember to use the weights in appropriate order the largest weight applies to most recent period and smallest weight applies to oldest period.) c) If the forecasted demand for the week of August 31 is 360 and a = 0.20, using exponential smoothing, develop the forecast for each of the weeks with the known demand and the forecast for the week of October 12 (round your responses to two decimal places). August 31 September 7 September 14 September 21…
Develop a 1 year periodized program for a Major League Baseball population. Use the traditional periodization model and align your periods with the four sport seasons. Explain why you made the selections of frequency, load, duration, and specific exercises.
8. assignment variable at which the treatment status does NOT change In Regression Discontinuity framework, the cutoff is defined as the level of the True False 9. What regression equation do we use for regression discontinuity framework? a) Y = Bo + B1 T + B2Xu+ Ei b) Y = Bo + B,T+ B2C + ei c) Y, = Bo + B, T+ B2 (Xi-C) + ei d) Y, = Bo + B1T + B2 (Xu + C) + € 10. Regression Discontinuity Design accomplices apples-to-apples comparison by comparing individuals as far from the cutoff as possible. True False
Records pertaining to the monthly number of job-related injuries at an underground coal mine were being studied by a government agency. The values for the past 100 months were as follows: Injuries Frequency of per Month Occurrence 32 40 2 15 3 4 1. 1. Apply the chi-square test to these data to test the hypothesis that the underlying distribution is Poisson. Important note: In the answer box below, just put the numerical test statistic value. Use x.xx format for the numerical value you provide as the answer. Do NOT compare the test statistic with the critical value from a table. Answer:
Jean and Dinah had been in business for two years producing umbrellas to be sold to the cruise ship passengers when they docked. They found that they are constantly out of umbrellas and had to rush producions which has resulted in the increase of their production cost. Jean has a nephew who is enrolled in the UWIOC and he advised her to prepare forecasted qualities using the sales that they made over the past months. The data below represents sales for the last 9 months. In order to assist Jean and Dinah you are asked to; a. plot the data on a graph showing the trend b. determine the equation of the trend line c. predict sales for month 10 and 11. Months Sales 1 44 2 52 3 50 4 54 5 55 6 55 7 60 8 56 9 62
I understand the moving average concept but not the weighted moving average and exponential smoothing
Define the MONITORING FORECAST ERROR?
The following table gives the number of pints of type A blood used at Woodlawn Hospital in the past 6 weeks: Week Of August 31 September 7 September 14 September 21 September 28 October 5 a) The forecasted demand for the week of October 12 using a 3-week moving average = pints (round your response to two decimal places) b) Using a 3-week weighted moving average, with weights of 0.10, 0.30, and 0.60, using 0.60 for the most recent week, the forecasted demand for the week of October 12 = pints (round your response to two decimal places and remember to use the weights in appropriate order the largest weight applies to most recent period and smallest weight applies to oldest period.) c) If the forecasted demand for the week of August 31 is 360 and α = 0.20, using exponential smoothing, develop the forecast for each of the weeks with the known demand and the forecast for the week of October 12 (round your responses to two decimal places). Week Of August 31 September 7 September 14 September…
Plot the linear regression line y = 3 + 0.5x
The following table gives the number of pints of type A blood used at Woodlawn Hospital in the past 6 weeks: Week Of August 31 September 7 September 14 September 21 September 28 October 5 - a) The forecasted demand for the week of October 12 using a 3-week moving average = pints (round your response to two decimal places). b) Using a 3-week weighted moving average, with weights of 0.10, 0.30, and 0.60, using 0.60 for the most recent week, the forecasted demand for the week of October 12 = pints (round your response to two decimal places and remember to use the weights in appropriate order the largest weight applies to most recent period and smallest weight applies to oldest period.) Week Of c) If the forecasted demand for the week of August 31 is 360 and a = 0.20, using exponential smoothing, develop the forecast for each of the weeks with the known demand and the forecast for the week of October 12 (round your responses to two decimal places). August 31 September 7 September 14…

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