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Assume the Following Information Given This Information, the Mean Absolute Forecast Error as a

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Assume the following information:
 Period  Predicted Value of  New Zealand Dollar  Realized Value of  New Zealand Dollar 1$.52$.502.54.603.44.404.51.50\begin{array}{ccc}\text { Period } & \begin{array}{c}\text { Predicted Value of } \\\text { New Zealand Dollar }\end{array} & \begin{array}{c}\text { Realized Value of } \\\text { New Zealand Dollar }\end{array} \\1 & \$ .52 & \$ .50 \\2 & .54 & .60 \\3 & .44 & .40 \\4 & .51 & .50\end{array}

Given this information, the mean absolute forecast error as a percentage of the realized value is about:


Definitions:

Point Estimate

A single value or statistic that serves as the best guess or most plausible value of a population parameter based on sample data.

Sample Proportion

The fraction or percentage of the sample that represents a particular characteristic or attribute within the population.

Finite Population Correction Factor

A correction used in sampling to adjust for the effect of sampling without replacement from a finite population.

Subset

A set of elements that are all members of another set, and possibly fewer in number.

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