Hypothesis testing in sociology is to understanding social relationships as statistical analysis is to what?

Hypothesis testing in sociology helps researchers understand how different social factors influence people's behavior and relationships. Just like hypothesis testing involves making predictions and then checking them against data, statistical analysis in other fields helps to draw conclusions from numerical data. For example, in health studies, researchers might analyze data on diet and exercise to see if there’s a link to heart disease. In both cases, the goal is to use data to support or refute a theory. So, just as hypothesis testing reveals insights into social dynamics, statistical analysis uncovers patterns and relationships in various types of data.