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1 | |
Which of the following forecasting techniques generates trend forecasts? |
| | A) | Delphi method |
| | B) | Sales force composites |
| | C) | Moving averages |
| | D) | Single exponential smoothing |
| | E) | None of the above |
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2 | |
For this set of errors: -1, -4, 0, +2, +3, MAD is: |
| | A) | 1.0 |
| | B) | 1.6 |
| | C) | 2.0 |
| | D) | 2.5 |
| | E) | 10.0 |
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3 | |
Which probability distribution is used most extensively in dealing with forecasting errors? |
| | A) | Normal |
| | B) | Poisson |
| | C) | Exponential |
| | D) | Beta |
| | E) | Pareto |
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4 | |
The cumulative forecast error is important for determining the: |
| | A) | Mean squared error. |
| | B) | Bias in forecast error. |
| | C) | Mean absolute deviation. |
| | D) | Control limits |
| | E) | Correlation coefficient |
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5 | |
When we use exponential smoothing for forecasting, the alpha value (smoothing constant) that would give the greatest weight to the current actuals would be: |
| | A) | 0 |
| | B) | .01 |
| | C) | .10 |
| | D) | .20 |
| | E) | .30 |
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6 | |
Which of the following smoothing constants would make an exponential smoothing forecast equivalent to a naive forecast? |
| | A) | 0 |
| | B) | .01 |
| | C) | .1 |
| | D) | .5 |
| | E) | 1.0 |
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7 | |
Simple exponential smoothing is being used to forecast demanThe previous forecast of 66 turned out to be six units less than actual demanThe next forecast is 66.9, implying a smoothing constant, alpha, equal to: |
| | A) | .01 |
| | B) | .10 |
| | C) | .15 |
| | D) | .20 |
| | E) | .60 |
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8 | |
The temperature on Tuesday was 80 degrees, on Wednesday it was 82 degrees, on Thursday it was 78 degrees. A naive forecast for the temperature on Friday would be: |
| | A) | 78 |
| | B) | 80 |
| | C) | 82 |
| | D) | 84 |
| | E) | Can't tell from the data given |
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