SOC206

In this course, students learn how to think about social issues numerically. They learn the fundamentals of social statistics with a focus on interpretation, including quantitative data types, learning how to describe and present data (including data visualization), sampling, probability, and bivariate and multivariate analyses. Basic analyses such as hypothesis testing, confidence intervals, correlation, and regression are covered. Recommended background: basic math proficiency, some algebraic knowledge.