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Operations and Supply Chain Management Worksheet

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Operations and Supply Chain Management Worksheet
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20 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If the actual value (Aₜ) is 100, the forecast value (Fₜ) is 90, and T = 1, what is the MAPE for this period?

10%

5%

1%

0.1%

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main assumption behind statistical forecasting?

The future will be an extrapolation of the past

The future is unpredictable

The past has no influence on the future

Forecasting is always inaccurate

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which method of statistical forecasting extrapolates only historical time-series data?

Regression

Time series

Simulation

Qualitative analysis

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does regression differ from time series in statistical forecasting?

Regression uses only future data, while time series uses past data

Regression extrapolates historical time-series data and considers other causal factors, while time series uses only historical time-series data

Regression ignores causal factors, while time series includes them

Regression is not used in forecasting

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Given the formula for the moving average forecast: F_{t+1} = (A_t + A_{t-1} + A_{t-2} + ... + A_{t-k+1})/k, what does "k" represent?

The number of most recent observations used in the average

The total number of observations in the time series

The forecasted value for the next period

The difference between the highest and lowest values

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following best describes the purpose of Single Exponential Smoothing (SES)?

To use a weighted average of past time-series values to forecast the value of the time series in the next period.

To calculate the mean of all past values in a time series.

To identify seasonal patterns in time-series data.

To determine the maximum value in a time series.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the formula for Single Exponential Smoothing, what does the parameter α (alpha) represent?

The smoothing constant.

The forecasted value.

The actual value at time t.

The time period.

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