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.
| Semester: | Fall 2023 |
|---|---|
| Instructor: | Anao Zhang |
| U-M Class #: | 36380 |
| Program Type:
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Program Type describes the program in which you are pursuing, i.e., residential or online part-time.
At this time, residential students may not directly enroll in online program courses, rather a course enrollment petition is required.
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Residential |
| Format:
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Format refers to the instruction of an offering, i.e., in-person, hybrid, or online.
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In-Person |
| Credits: | 4 Credit Hours |
University of Michigan
School of Social Work
1080 South University Avenue
Ann Arbor, MI 48109-1106