What is the primary focus of stratification in data management?

The primary focus of stratification in data management is to categorize and organize data. Stratification involves dividing a dataset into distinct subgroups or strata based on specific characteristics or criteria. This process enhances data organization by allowing researchers and analysts to better understand the structure of the data, identify patterns, and facilitate targeted analysis.

By categorizing data in this manner, it becomes easier to draw insights from different segments, compare groups, and ensure that analyses account for variability among subgroups. For instance, stratification is often used in survey samples or experimental designs to ensure that various segments are adequately represented, making results more reliable and actionable.

The other concepts mentioned—running statistical tests, collecting more data, and analyzing trends—are related activities that may occur after data has been stratified but do not encapsulate the primary goal of the stratification process itself, which is fundamentally about categorization and organization.