Statistical Methods in Social Sciences I

First of a two‐part introductory statistics sequence for doctoral students in SW & 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, and analysis of variance methods. Students will learn R statistical software for all analyses and class assignments.