For the statistical errors by date function, what is required in the two input worksheets?

The correct choice highlights the core purpose of the statistical errors by date function, which is to evaluate the accuracy of forecasts over time. In order to compute statistical errors, you need both forecasted values and actual values. The actual values serve as a benchmark that shows what the real outcomes were, while the forecasted values represent what was predicted. By comparing these two sets of values, the system can quantify the forecasting error, allowing for better insights and refinements in future predictions.

In this context, unique identifiers are not sufficient, as they do not provide information regarding the forecast's accuracy. Similarly, having only forecasted values or focusing solely on historical lead times and demand details would not fulfill the requirement for analyzing statistical errors since these aspects do not directly contribute to calculating discrepancies between predictions and reality.