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.
This course will meet from 9:00-12:00 for the lecture component; have a lunch break from 12:00-1:00; and a lab component from 1:00-2:00.
You must enroll in the lab component of this course; once enrolled in the lab (section 002), you will automatically be enrolled in the lecture component (section 001).
Other SW850 Offerings
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No other course offerings found this term.