10. The decision-maker using maximax criterion on the problem below would choose Alternative because the maximum of the row maximum is: States of Nature 1 2 3 Alternative E 50 55 60 Alternative F 30 50 80 Alternative G 70 80 70 Alternative H -100 -10 140 A. Alternative E, 60 B. Alternative F, 80 C. Alternative G, 70 D. Alternative H, 140

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13. A six – months moving average forecast is
better than a three – months moving average
10. The decision-maker using maximax criterion
on the problem below would choose
Alternative
because the maximum of the
forecast if demand:
row maximum is:
A. is rather stable
B. has been changing due to recent
States of Nature
promotional efforts
1
2
3
C. follows an upward trend
D. follows a downward trend
Alternative E
50
55
60
Alternative F
30
50
80
Alternative G
70
80
70
14. When there is no significant upward or
Alternative H
-100
-10
140
downward movement (or trend) in a time series
data overtime, then the data is said to be:
A. Alternative E, 60
A. Critical
B. Alternative F, 80
C. Alternative G, 70
B. Invalid
D. Alternative H, 140
C. Non-stationary
D. Stationary
11. The main purpose of a time series moving
averages is to:
A. determine the coefficient of correlation
use(s) management judgement,
expertise and opinion to make forecasts.
15.
B. smooth out the time series
C. show the correlation between the time series
and the regression line
A. Qualitative methods
B. Quantitative methods
C. Regression
D. determine the linear coefficient
D. Time series
12. Which of the following is a DISADVANTAGE
of using a moving average technique to
16. The difference between the forecast and actual
demand is:
determine time series trend?
A. Forecast mistake
A. The trend values obtained do not reflect the
B. Forecast error
general trend.
B. Only one trend value can be obtained for
C. Forecast accuracy
D. Mean Absolute Deviation, MAD
either of the end points of the series.
C. No trend values are obtained for the
17. All the following are forecasting techniques
beginning and end time points of the series.
D. Each moving average trend value obtained
does not correspond with a time point
ΕXCEPΤ:
A. Causal models
B. Qualitative models
C. Optimistic Predictor models
D. Time-series models
3
Transcribed Image Text:13. A six – months moving average forecast is better than a three – months moving average 10. The decision-maker using maximax criterion on the problem below would choose Alternative because the maximum of the forecast if demand: row maximum is: A. is rather stable B. has been changing due to recent States of Nature promotional efforts 1 2 3 C. follows an upward trend D. follows a downward trend Alternative E 50 55 60 Alternative F 30 50 80 Alternative G 70 80 70 14. When there is no significant upward or Alternative H -100 -10 140 downward movement (or trend) in a time series data overtime, then the data is said to be: A. Alternative E, 60 A. Critical B. Alternative F, 80 C. Alternative G, 70 B. Invalid D. Alternative H, 140 C. Non-stationary D. Stationary 11. The main purpose of a time series moving averages is to: A. determine the coefficient of correlation use(s) management judgement, expertise and opinion to make forecasts. 15. B. smooth out the time series C. show the correlation between the time series and the regression line A. Qualitative methods B. Quantitative methods C. Regression D. determine the linear coefficient D. Time series 12. Which of the following is a DISADVANTAGE of using a moving average technique to 16. The difference between the forecast and actual demand is: determine time series trend? A. Forecast mistake A. The trend values obtained do not reflect the B. Forecast error general trend. B. Only one trend value can be obtained for C. Forecast accuracy D. Mean Absolute Deviation, MAD either of the end points of the series. C. No trend values are obtained for the 17. All the following are forecasting techniques beginning and end time points of the series. D. Each moving average trend value obtained does not correspond with a time point ΕXCEPΤ: A. Causal models B. Qualitative models C. Optimistic Predictor models D. Time-series models 3
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