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Table 10.9 Table 10.9    -Use the information in Table 10.9.What is the mean absolute deviation of forecast errors for the data? A) 0 units B) greater than 0,but less than or equal to 25 units C) greater than 25,but less than or equal to 50 units D) greater than 50 units -Use the information in Table 10.9.What is the mean absolute deviation of forecast errors for the data?


A) 0 units
B) greater than 0,but less than or equal to 25 units
C) greater than 25,but less than or equal to 50 units
D) greater than 50 units

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Time-series analysis is a statistical approach that relies heavily on historical demand data to project the future size of demand.

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Table 10.3 Table 10.3    -Use the information in Table 10.3.If the actual number of patients is 415 in week 5,what is the forecast for week 6 using a three-week moving average forecast? A) less than or equal to 390 B) greater than 390 but less than or equal to 398 C) greater than 398 but less than or equal to 406 D) greater than 406 -Use the information in Table 10.3.If the actual number of patients is 415 in week 5,what is the forecast for week 6 using a three-week moving average forecast?


A) less than or equal to 390
B) greater than 390 but less than or equal to 398
C) greater than 398 but less than or equal to 406
D) greater than 406

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Table 10.7 Table 10.7    -Use the information in Table 10.7.The cumulative sum of errors CFE from months 2 through 5 is A) less than or equal to 80. B) greater than 80 but less than or equal to 85. C) greater than 87 but less than or equal to 90. D) greater than 90. -Use the information in Table 10.7.The cumulative sum of errors CFE from months 2 through 5 is


A) less than or equal to 80.
B) greater than 80 but less than or equal to 85.
C) greater than 87 but less than or equal to 90.
D) greater than 90.

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Table 10.4 Table 10.4    -Use the information in Table 10.4.The forecasting equation for a three-month weighted moving average is: A<sub>t</sub> = W<sub>1</sub>D<sub>t</sub> + W<sub>2</sub>D<sub>t</sub> - 1 + W<sub>3</sub>D<sub>t</sub> - 2   =     +     -1 +     -2 If the sales for June were 40 units and the weights are W<sub>1</sub>= 1/2,W<sub>2</sub> = 1/3,and W<sub>3</sub> = 1/6,what is the forecast for July? A) less than or equal to 30 units B) greater than 30 but less than or equal to 33 units C) greater than 33 but less than or equal to 36 units D) greater than 36 units -Use the information in Table 10.4.The forecasting equation for a three-month weighted moving average is: At = W1Dt + W2Dt - 1 + W3Dt - 2 Table 10.4    -Use the information in Table 10.4.The forecasting equation for a three-month weighted moving average is: A<sub>t</sub> = W<sub>1</sub>D<sub>t</sub> + W<sub>2</sub>D<sub>t</sub> - 1 + W<sub>3</sub>D<sub>t</sub> - 2   =     +     -1 +     -2 If the sales for June were 40 units and the weights are W<sub>1</sub>= 1/2,W<sub>2</sub> = 1/3,and W<sub>3</sub> = 1/6,what is the forecast for July? A) less than or equal to 30 units B) greater than 30 but less than or equal to 33 units C) greater than 33 but less than or equal to 36 units D) greater than 36 units = Table 10.4    -Use the information in Table 10.4.The forecasting equation for a three-month weighted moving average is: A<sub>t</sub> = W<sub>1</sub>D<sub>t</sub> + W<sub>2</sub>D<sub>t</sub> - 1 + W<sub>3</sub>D<sub>t</sub> - 2   =     +     -1 +     -2 If the sales for June were 40 units and the weights are W<sub>1</sub>= 1/2,W<sub>2</sub> = 1/3,and W<sub>3</sub> = 1/6,what is the forecast for July? A) less than or equal to 30 units B) greater than 30 but less than or equal to 33 units C) greater than 33 but less than or equal to 36 units D) greater than 36 units Table 10.4    -Use the information in Table 10.4.The forecasting equation for a three-month weighted moving average is: A<sub>t</sub> = W<sub>1</sub>D<sub>t</sub> + W<sub>2</sub>D<sub>t</sub> - 1 + W<sub>3</sub>D<sub>t</sub> - 2   =     +     -1 +     -2 If the sales for June were 40 units and the weights are W<sub>1</sub>= 1/2,W<sub>2</sub> = 1/3,and W<sub>3</sub> = 1/6,what is the forecast for July? A) less than or equal to 30 units B) greater than 30 but less than or equal to 33 units C) greater than 33 but less than or equal to 36 units D) greater than 36 units + Table 10.4    -Use the information in Table 10.4.The forecasting equation for a three-month weighted moving average is: A<sub>t</sub> = W<sub>1</sub>D<sub>t</sub> + W<sub>2</sub>D<sub>t</sub> - 1 + W<sub>3</sub>D<sub>t</sub> - 2   =     +     -1 +     -2 If the sales for June were 40 units and the weights are W<sub>1</sub>= 1/2,W<sub>2</sub> = 1/3,and W<sub>3</sub> = 1/6,what is the forecast for July? A) less than or equal to 30 units B) greater than 30 but less than or equal to 33 units C) greater than 33 but less than or equal to 36 units D) greater than 36 units Table 10.4    -Use the information in Table 10.4.The forecasting equation for a three-month weighted moving average is: A<sub>t</sub> = W<sub>1</sub>D<sub>t</sub> + W<sub>2</sub>D<sub>t</sub> - 1 + W<sub>3</sub>D<sub>t</sub> - 2   =     +     -1 +     -2 If the sales for June were 40 units and the weights are W<sub>1</sub>= 1/2,W<sub>2</sub> = 1/3,and W<sub>3</sub> = 1/6,what is the forecast for July? A) less than or equal to 30 units B) greater than 30 but less than or equal to 33 units C) greater than 33 but less than or equal to 36 units D) greater than 36 units -1 + Table 10.4    -Use the information in Table 10.4.The forecasting equation for a three-month weighted moving average is: A<sub>t</sub> = W<sub>1</sub>D<sub>t</sub> + W<sub>2</sub>D<sub>t</sub> - 1 + W<sub>3</sub>D<sub>t</sub> - 2   =     +     -1 +     -2 If the sales for June were 40 units and the weights are W<sub>1</sub>= 1/2,W<sub>2</sub> = 1/3,and W<sub>3</sub> = 1/6,what is the forecast for July? A) less than or equal to 30 units B) greater than 30 but less than or equal to 33 units C) greater than 33 but less than or equal to 36 units D) greater than 36 units Table 10.4    -Use the information in Table 10.4.The forecasting equation for a three-month weighted moving average is: A<sub>t</sub> = W<sub>1</sub>D<sub>t</sub> + W<sub>2</sub>D<sub>t</sub> - 1 + W<sub>3</sub>D<sub>t</sub> - 2   =     +     -1 +     -2 If the sales for June were 40 units and the weights are W<sub>1</sub>= 1/2,W<sub>2</sub> = 1/3,and W<sub>3</sub> = 1/6,what is the forecast for July? A) less than or equal to 30 units B) greater than 30 but less than or equal to 33 units C) greater than 33 but less than or equal to 36 units D) greater than 36 units -2 If the sales for June were 40 units and the weights are W1= 1/2,W2 = 1/3,and W3 = 1/6,what is the forecast for July?


A) less than or equal to 30 units
B) greater than 30 but less than or equal to 33 units
C) greater than 33 but less than or equal to 36 units
D) greater than 36 units

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A(n)________ is a customer order that cannot be filled immediately but is filled as soon as possible.

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Which one of the following statements about forecasting is FALSE?


A) You should use the simple moving average method to estimate the mean demand of a time series that has a pronounced trend and seasonal influences.
B) The weighted moving average method allows forecasters to emphasize recent demand over earlier demand.The forecast will be more responsive to change in the underlying average of the demand series.
C) The most frequently used time series forecasting method is exponential smoothing because of its simplicity and the small amount of data needed to support it.
D) In exponential smoothing,higher alpha values place greater weight on recent demands in computing the average.

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A backlog is an accumulation of customer orders that a manufacturer has promised for delivery at some future date.

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An independent variable is the measure or quantity being forecast in linear regression analysis.

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changes in the dependent variable must take place with sufficient lead time before the associated change in the independent variables,for causal model to be useful as a forecasting tool.

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A naive forecast is a time-series method whereby the forecast for the next period equals the demand for the current period.

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Doctors,dentists,lawyers,and automobile repair shops are examples of service providers that use ________.

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Table 10.4 Table 10.4    -Use the information in Table 10.4.Suppose actual sales in June turn out to be 40 units.Use the three-month moving average method to forecast the sales in July. A) less than or equal to 27 B) greater than 27 but less than or equal to 29 units C) greater than 29 but less than or equal to 31 units D) greater than 31 units -Use the information in Table 10.4.Suppose actual sales in June turn out to be 40 units.Use the three-month moving average method to forecast the sales in July.


A) less than or equal to 27
B) greater than 27 but less than or equal to 29 units
C) greater than 29 but less than or equal to 31 units
D) greater than 31 units

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Which one of the following statements about forecasting is FALSE?


A) To achieve the objective of developing a useful forecast from the information at hand,the forecaster must select the appropriate technique.This choice sometimes involves a trade-off between forecast accuracy and cost.
B) Three general types of forecasting techniques are used for demand forecasting: time series analysis,causal methods,and judgment methods.
C) Time series express the relationship between the factor to be forecast and related factors,such as promotional campaigns,economic conditions,and competitor actions.
D) A time series is a list of repeated observations of a phenomenon,such as demand,arranged in the order in which they actually occurred.

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Judgment methods of forecasting should never be used with quantitative forecasting methods.

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________ is a causal method of forecasting in which one variable is related to one or more variables by a linear equation.

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A(n)________ forecast is a time-series method whereby the forecast for the next period equals the demand for the current period.

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The Delphi method is a process of gaining consensus from a group of experts while maintaining their anonymity.

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Table 10.8 A manager wants to forecast the monthly demand for a machine the company produces. Table 10.8 A manager wants to forecast the monthly demand for a machine the company produces.    -Use the information in Table 10.8.Calculate the MAD for months 4 through 6 for the weighted moving average forecasts.The weights are 0.50,0.30,and 0.20,where 0.50 refers to the most recent demand. A) less than or equal to 2 B) greater than 2 but less than or equal to 3 C) greater than 3 but less than or equal to 4 D) greater than 4 -Use the information in Table 10.8.Calculate the MAD for months 4 through 6 for the weighted moving average forecasts.The weights are 0.50,0.30,and 0.20,where 0.50 refers to the most recent demand.


A) less than or equal to 2
B) greater than 2 but less than or equal to 3
C) greater than 3 but less than or equal to 4
D) greater than 4

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Table 10.4 Table 10.4    -Use the information in Table 10.4.What is the forecast for July with the two-month moving average method and June sales of 40 units? A) less than or equal to 25 units B) greater than 25 but less than or equal to 30 units C) greater than 30 but less than or equal to 35 units D) greater than 35 units -Use the information in Table 10.4.What is the forecast for July with the two-month moving average method and June sales of 40 units?


A) less than or equal to 25 units
B) greater than 25 but less than or equal to 30 units
C) greater than 30 but less than or equal to 35 units
D) greater than 35 units

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