Which method does quantitative data typically rely on?

Quantitative data typically relies on statistical modeling because this method utilizes mathematical tools and formulas to analyze numerical data. Statistical modeling allows researchers to make predictions, identify relationships between variables, and test hypotheses, which are essential functions in quantitative research.

Through this approach, researchers can apply various statistical techniques such as regression analysis, correlation, and hypothesis testing to extract meaningful insights from data sets. This reliance on quantitative methods ensures that conclusions are supported by empirical evidence, characterized by objectivity and replicability.

While descriptive analysis is important for summarizing and understanding data, it does not provide the deeper insights that statistical modeling offers. The other options, such as interviews, focus groups, and case studies, pertain more to qualitative research methods, which focus on exploring experiences and perspectives rather than quantifying data or establishing statistical relationships. Hence, statistical modeling is the most suitable method for handling quantitative data.