Free Practice Quiz Question List

2 Demand Forecasting Online Quiz Questions

Use this free practice quiz with 20 questions to review 2 Demand Forecasting, test your knowledge, and prepare for your next test or exam.

20 questions
01
True or false
1 point

A demand forecast is an informed estimate, not a guarantee that actual demand will match it. True or false?

  1. A

    True

  2. B

    False

02
Choose one
1 point

A retailer replenishes a product every week. Which forecasting setup best matches that decision?

  1. A

    Forecast monthly demand and update it only once a year

  2. B

    Forecast weekly demand and update it regularly

  3. C

    Forecast demand for the next five years and do not revise it

  4. D

    Forecast demand only after a stockout occurs

03
Choose one
1 point

A product's demand has no clear seasonal pattern, but it has changed by an average of about 5 units per month. Which baseline method extends that average change into future periods?

  1. A

    Mean method

  2. B

    Naïve method

  3. C

    Drift method

  4. D

    Seasonal naïve method

04
True or false
1 point

Using the convention that forecast error equals actual demand minus forecast demand, a positive error indicates that demand was underforecast. True or false?

  1. A

    True

  2. B

    False

05
Fill in the blank
1 point

In an additive time-series pattern, seasonal effects are roughly in size as the demand level rises or falls.

06
Choose one
1 point

A period has actual demand of zero. What is true of the percentage error for that period when calculated as part of MAPE?

  1. A

    MAPE remains defined and equals zero

  2. B

    MAPE is undefined

  3. C

    MAPE is always exactly 100%

  4. D

    MAPE becomes equal to MAE

07
Choose all
1 point

Which practices help evaluate demand forecasts realistically? Select all correct choices.

  1. A

    Use rolling-origin evaluation so each forecast uses only information available at that time

  2. B

    Choose the method with the best fit to all historical observations, without holding any observations back

  3. C

    Test forecasts at the horizons that matter for the operational decision

  4. D

    Include later outcomes in the information used to make earlier forecasts

  5. E

    Compare predictions with actual outcomes that were not used to produce those predictions

08
Fill in the blank
1 point

MAPE is undefined for a period when actual demand is .

09
Choose all
1 point

When exploring a demand series, which business-context factors may help explain observed patterns or unusual movements? Select all correct choices.

  1. A

    Check whether promotions or price changes may explain movements in demand

  2. B

    Check whether holidays may create recurring or unusual demand patterns

  3. C

    Assume a forecasting method will automatically account for every supply disruption

  4. D

    Consider whether supply disruptions may have affected observed demand

  5. E

    Ignore business context if the time series can be plotted

10
Written response
1 point

For two periods, actual demand is 10 units and 8 units, while the corresponding forecasts are 8 units and 10 units. What is the mean absolute error (MAE), in units?

11
Open ended
1 point

A buyer has a demand forecast for a product. Explain why the forecast should not automatically become the order quantity, and describe how at least two other operational considerations could inform the replenishment decision.

12
Choose one
1 point

A forecast has a MASE of 0.8 under a chosen benchmark scaling. What does this result indicate?

  1. A

    The forecast is exactly 0.8 demand units too high in every period

  2. B

    The forecast's average scaled error is better than the benchmark under the chosen scaling

  3. C

    The forecast is guaranteed to be accurate in future periods

  4. D

    The forecast has no errors in any period

13
True or false
1 point

A longer-term rise and fall in demand that does not necessarily recur at a fixed interval is a seasonal pattern.

  1. A

    True

  2. B

    False

14
Choose one
1 point

A retailer replenishes a product weekly, while its manufacturer plans capacity several months ahead. Which forecasting setup best supports both decisions?

  1. A

    Use a monthly forecast for every decision so forecasts are comparable.

  2. B

    Use weekly forecasts for weekly replenishment and a longer horizon for capacity planning.

  3. C

    Forecast only the next period, even when the decision concerns months ahead.

  4. D

    Choose the horizon based on which forecast method is easiest to calculate.

15
Choose one
1 point

A product had a stockout during several periods, and recorded sales fell during those periods. What is the most appropriate data-preparation response before forecasting?

  1. A

    Treat all recorded sales as exact demand because sales are observed directly.

  2. B

    Increase recorded demand in every period by the same fixed amount.

  3. C

    Flag stockout periods because sales may understate customer demand.

  4. D

    Delete every period with low sales, since it must reflect a stockout.

16
Choose one
1 point

A product's usual demand rises over several years, and its busy-season increase grows in proportion to that higher level. Which description best fits this pattern?

  1. A

    A multiplicative pattern, because seasonal swings grow in proportion to the demand level.

  2. B

    An additive pattern, because seasonal swings grow in proportion to the demand level.

  3. C

    A cycle, because every seasonal pattern is a long-term rise and fall without a fixed interval.

  4. D

    Random variation, because demand is higher in some months than in others.

17
Choose one
1 point

A planner wants to test how a forecasting process would have performed in actual use over time. Which evaluation approach best avoids using future information?

  1. A

    Fit the model using the entire series, then compare fitted values with the same observations.

  2. B

    At successive time points, use only data available then to forecast later observations.

  3. C

    Randomly shuffle all observations, then use part of each period to forecast the rest.

  4. D

    Choose the model with the smallest training error, without testing later periods.

18
Written response
1 point

For monthly demand with yearly seasonality, a planner forecasts next January using demand from the most recent January. Which baseline method is being used?

19
Written response
1 point

Actual demand was 125125 units and the forecast was 140140 units. Using et=yt−y^te_t=y_t-\hat y_t, what is the signed forecast error in units?

20
Written response
1 point

A retailer’s actual demand exceeds its forecasts in many consecutive periods, rather than in just one unusual event. What forecasting issue should the retailer investigate?