What method is commonly used for analyzing large-scale statistical data?

Surveys are commonly used for analyzing large-scale statistical data due to their ability to collect data from a wide audience efficiently. They can be designed to gather both qualitative and quantitative information, making them versatile tools for research. Surveys allow for the statistical analysis of responses, which can lead to insights about trends, preferences, and behavior patterns among large populations.

Furthermore, surveys can be administered in various formats, including online, via telephone, or in person, which facilitates reaching a broad demographic. The structured design of surveys, often incorporating closed-ended questions, enables researchers to quantify responses and analyze the data statistically, making them particularly valuable for large-scale studies.

Other methods like focus groups, experiments, and case studies tend to involve smaller samples and are typically used for more qualitative insights or in-depth analysis rather than for broad statistical data analysis.