Course Detail
Units:
4.0
Course Components:
Laboratory
Lecture
Enrollment Information
Requirement Designation:
Quan Reason (Stat/Logic) & Quant Intensive BS
Description
The goal of this course is to enable students to both calculate and interpret statistical analyses within the context of social science research. The course introduces basic concepts of statistical analysis, both in theory (lectures) and practice (labs). The course begins with a discussion of descriptive statistics, including frequency distributions, graphs, and measures of central tendency and variability. Next, the course examines relationships between variables and measures of association, including bivariate regression and correlations. The course concludes with an introduction to inferential statistics, including t-tests, ANOVA, and chi-square.