statistical methods in social science i

This is an introductory course to statistical analyses in social sciences. As the first of a required statistics sequence for doctoral students in social work and social welfare, students will learn important theories and concepts behind key statistical methods and their applications to addressing social problems and issues and advancing social justice. Core topics covered in this course will include descriptive statistics, point estimation, and confidence interval, central limit theorem and its role in inferential statistics, univariate statistical methods (e.g., t-tests, chi-square), and analysis of variance methods (e.g., analysis of covariance). Students will learn to use the R statistical software for all analyses and class assignments.