Statistical Analysis System (SAS) Programming Certification 2025 – 400 Free Practice Questions to Pass the Exam

The keyword used to label missing numeric values as well as any unspecified values in a range is 'Other'. This keyword plays a significant role in data analysis, especially when dealing with categorical or continuous data where certain values may not be available or applicable. By using 'Other', analysts can effectively categorize these values, ensuring that they are still accounted for in the analysis without distorting the overall dataset.

In statistical programming and data manipulation, especially within SAS, it is crucial to manage and identify missing or unspecified values appropriately. Using the 'Other' keyword allows analysts to have a clear understanding that these values are excluded from standard calculations, yet acknowledged within the dataset, providing better insight into the integrity and completeness of the data being analyzed.

The other options refer to concepts that are either too limited in scope (like 'Low' and 'Miss') or are not aligned with the standard practices of labeling missing values in this context (like 'Missing'). Therefore, 'Other' is the most appropriate choice for recognizing and labeling missing or unspecified values.