Certified Production & Operations Manager (POM) Practice Exam 2025 – Your All-in-One Guide to Exam Success!

Mean Absolute Percentage Error, commonly abbreviated as MAPE, is a statistical measure used to assess the accuracy of a forecasting method. It calculates the average absolute percentage error between predicted and actual values, providing a clear indication of how far off forecasts are from actual results. The formula for MAPE is expressed as the average of the absolute values of the percentage errors, allowing for easy interpretation and comparison across different forecasts.

This metric is particularly useful in business and economics, where understanding the accuracy of predictions can directly impact decision-making and operations. MAPE is favored because it is scale-independent, meaning it can be used to compare modeling performance across different datasets or scenarios without being influenced by the scale of the values involved.

The other choices, while they may seem plausible, do not correctly represent the MAPE acronym. They refer to other concepts or formulations that are not standard in the context of forecasting accuracy.