What technique is used to separate data for easier analysis, especially when multiple data sets overlap?

The technique that enables separation of data for easier analysis, particularly when dealing with overlapping data sets, is stratification. Stratification involves dividing a population into distinct subgroups or strata that share similar characteristics. This approach allows for more focused analysis and the ability to draw more precise conclusions from each subgroup.

For instance, in a research study, if you're analyzing data related to customer satisfaction across different age groups, stratifying the data allows you to investigate patterns and trends within each age group separately. This is particularly beneficial when the characteristics of different segments may influence the overall analysis, leading to more insightful results.

Stratification is often essential in research design, especially in fields like business where understanding differences in target demographics can inform decision-making. The technique also enhances the quality and relevance of the data analysis by ensuring that varied factors are considered independently.