The Actual Value of the Time Series at Time T $\frac { \sum _ { t = 1 } ^ { n } \left| \frac { A _ { t } + F _ { t } } { 2 } \right| } { n }$

question 8

Multiple Choice

The actual value of the time series at time t and the forecast value for time t is denoted by At and Ft respectively.What is the formula used for calculating the mean absolute percentage error over a range of forecasted values?

• A)MAPE = \(\frac { \sum _ { t = 1 } ^ { n } \left| \frac { A _ { t } + F _ { t } } { 2 } \right| } { n }\)
• B)MAPE = \(\sqrt { \frac { \sum _ { t = 1 } ^ { n } \left| \frac { A _ { t } + F _ { t } } { 2 } \right| } { n } }\)
• C)MAPE = \(\frac { \sum _ { t = 1 } ^ { n } \left| A _ { t } - F _ { t } \right| } { n }\)
• D)MAPE = \(\frac { \sum _ { t = 1 } ^ { n } \left| \frac { A _ { t } + F _ { t } } { A _ { t } } \right| } { n }\) × 100

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Definitions:

State-Dependent Learning

The theory that information learned in a specific state of mind (e.g., emotional, physiological) is more easily recalled when in that same state.

Conditioned Stimulus

An initially neutral signal that, once linked with an unconditioned stimulus, ultimately elicits a conditioned response.

Unconditioned Stimulus

In classical conditioning, a stimulus that naturally and automatically triggers a response without prior learning.

Response of Interest

The specific reaction or outcome measured in a research study to evaluate the effects of various conditions or treatments.