Quantitative reasoning is becoming increasingly important for humanists, whether in conducting their own research or critically evaluating the work of others. This workshop introduces the logic of statistical thinking and hypothesis testing as tools for deepening humanistic inquiry. Drawing on examples from both quantitative psychology and digital humanities, we’ll explore how to frame research questions that connect data, theory, and interpretation. Topics include modeling vs. prediction, integrating multiple data types and sources, and selecting appropriate analytical methods and coding platforms. While no coding will be done in this session, participants will leave with frameworks and resources for designing and executing a quantitative study—from data collection to analysis.