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Newsvendor and Forecasting Quiz Quiz, 10 questions
1 point
1. This question relates to concepts covered in Lectures 1 & 2. You can use any of the excel les posted to work through the question. Which of the following statements is a true statement about the Newsvendor model? In the Newsvendor model, the ordering decision is made before seeing the customer demand. The Newsvendor model can be only applied to vendors who sell newspapers or magazines. The Newsvendor model can be used only if unsold units cannot be salvaged. In the Newsvendor model, the decision-maker who decides how much to order, always knows the exact quantity of demand that will happen.
1 point
2.
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This question relates to concepts covered in Lectures 1 & 2.
Newsvendor and Forecasting Quiz
Quiz, 10 questions You can use any of the excel les posted to work through the question.
Demand at a store can be modeled by a random variable which takes the following values across four dierent scenarios that occur with following probabilities. Scenario Low: D1 = 10 with probability p_1=0.1 Scenario Medium 1: D2 = 30 with probability p_2=0.4 Scenario Medium 2: D3 = 60 with probability p_3=0.4 Scenario High: D4 = 90 with probability p_4=0.1 What is the mean of this demand distribution?
10 46 90 30 60 52.18
1 point
3. This question relates to concepts covered in Lectures 1 & 2. You can use any of the excel les posted to work through the question. Consider the demand at a store given by the data in the previous question, i.e., the demand at a store that can be modeled by a random variable with values and corresponding probabilities shown in Q2. Which of the following statements about the standard deviation of the demand distribution is true? The standard deviation is greater than or equal to 30 but less than 40. https://www.coursera.org/learn/wharton-operations-analytics/exam/vRSgo/newsvendor-and-forecasting-quiz
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standard deviation cannot be calculated for this data. Newsvendor andThe Forecasting Quiz Quiz, 10 questions
The standard deviation is greater than or equal to 10 but less than 20. The standard deviation is greater than or equal to 20 but less than 30. The standard deviation is greater than or equal to 0 but less than 10.
1 point
4. This question relates to concepts covered in Lectures 1 & 2. You can use any of the excel les posted to work through the question. Suppose we have a data set containing n=100 data points with the following descriptive statistics: mean = 80, and standard deviation = 18. We believe that this data sample comes from a normal distribution. Which of the following choices would you use for forecasting or predicting future demand values? Mean= 81.8 and standard deviation= 18. Mean= 88 and standard deviation= 27. Mean= 80 and standard deviation= 19.8. Mean= 81.8 and standard deviation=19.8. Mean= 80 and standard deviation= 18. Mean=88 and standard deviation= 19.8.
1 point
5.
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Using DemandData.xlsx le on the course website, and using the “Moving averages Newsvendor and Forecasting Quiz the moving averages for periods 81 through of 13” method, i.e., MA (13), calculate Quiz, 10 questions 100. In particular, start with forecast for period 81 using data from the previous 13 periods, i.e., from periods 68 through 80. Continue this process till you generate forecast for period 100. Now calculate errors, the dierences between your forecasts and the data. What is the Mean Absolute Deviation of these errors? Choose the closest numerical answer. 34.33 8.46 17.51 7.30 15.00 9.17
1 point
6. The number of customer requests for car rentals recorded on each day at a Philly Cars rental location is as follows:
Day
Number of Car Rental Requests
Monday
20
Tuesday
30
Wednesday
30
Thursday
40
Friday
60
Start with Wednesday forecast using two-day moving averages MA(2). Using the errors between forecasted and actual values for Wednesday through Friday, calculate MAPE. Choose the closest answer from the variants below. 43.6% 21.3% https://www.coursera.org/learn/wharton-operations-analytics/exam/vRSgo/newsvendor-and-forecasting-quiz
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Newsvendor and15.8% Forecasting Quiz Quiz, 10 questions
38.1% 9.3% 27.8%
1 point
7. This question relates to concepts covered in Sessions 3 and 4. You can use any of the excel les posted online to work through the Quiz. Mr. Cal Coolator uses a trend line forecasting model to forecast the daily demand for 1-quart water bottles at a convenience store based on the average temperature recorded outside during the day. The demand line is given by Y=36+4.3*X where Y = daily number of 1-quart water bottles demanded, and X = ambient temperature measured in degrees Fahrenheit. What is the demand forecast for 1-quart water bottles on a day when the average temperature is 70 degrees Fahrenheit? 407 395 337 380 371 412 353
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1 Newsvendorpoint and Forecasting Quiz Quiz, 10 questions
8. This question relates to concepts covered in Sessions 3 and 4. You can use any of the excel les posted online to work through the Quiz. Suppose you are a manager at a ski resort in Utah. The ski resort collects and keeps data on the demand for ski rentals over the past several seasons. Your assistant observes that the demand has a day-of-the-week eect (i.e., demand over a week is highly seasonal or cyclic). He calculates the seasonality factors for all 7 days of the week. The seasonality factors for Monday through Saturday are 0.8, 0.5, 0.4, 0.8, 1.7 and 1.8 respectively. What is the estimate of the seasonality factor for Sunday? 0.8 0.9 0.4 1.8 1.0 1.7 0.5
1 point
9.
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This question relates to concepts covered in Sessions 3 and 4.
Newsvendor and Forecasting Quiz
Quiz, 10 questions You can use any of the excel les posted online to work through the Quiz.
The Philadelphia Museum’s estimate of the number of visitors to its outdoor sculpture garden during a quarter (3-month period) shows both seasonality and increasing trend. The de-seasonalized trend line is D = 770 + 10*t, where t=1 for Jan 2015 (Winter), t=2 for April 2015 (Spring), t=3 for July 2015 (Summer), t=4 for October 2015 (Fall/Autumn), t=5 for January 2016 and so on. Suppose the seasonal factors are as follows:
Quarter
Factor (Index)
January (Winter)
0.8
April (Spring)
1.1
July (Summer)
1.4
October (Fall/Autumn)
0.7
What is the forecast of the number of visitors for Winter (January) 2017? (Hint: First use the trend line to calculate the de-seasonal forecast and then apply the correct seasonal factor for January 2017). 1176 957 688 917 1232 595
1 point https://www.coursera.org/learn/wharton-operations-analytics/exam/vRSgo/newsvendor-and-forecasting-quiz
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10.
Newsvendor Forecasting Quiz Thisand question relates to concepts covered in Sessions 3 and 4. Quiz, 10 questions
You can use any of the excel les posted online to work through the Quiz. Sew Good is a fashion apparel chain that sells a variety of cl othes in California. Below are the actual demands and the forecasts that Sew Good recorded for 20 of their clothing designs from the past season. In the following problem round all the ratio values to 2 decimal places. For example, use 0.97 instead of 0.9733 or 0.9689.
Actual Demand
Forecast
546
914
639
698
534
518
732
595
699
909
1019
1063
1174
1160
1092
1084
608
776
908
758
1162
938
1300
2108
739
870
941
1278
831
762
915
1270
682
524
799
708
1281
946
640
806 ’
“
”
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to release in the coming season is 1450. Sew Good follows the forecast
Newsvendor and Forecasting Quiz methodology we used in Session 4, and uses a normal distribution to forecast the Quiz, 10 questions
demand for “mood indigo” jeans, and ts a demand model by studying the deviations of actual demands from forecasts in the last season using A/F ratios. What value of the descriptive standard deviation should Sew Good use for tting the normal distribution? Please choose the closest number. 332 174 251 55 298 120
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