Fundamentals of Statistical Analysis

Fundamentals of Statistical Analysis

Dr. Arevik Avedian
Spring 2022 course
T, W 10:45am - 12:15pm
3 classroom credits

Prerequisites: No prerequisites, prior empirical or software background is not required for this course. This class can be taken as part of the HLS empirical track as a prerequisite for the Applied Quantitative Analysis and Advanced Quantitative Analysis.

Exam Type: No Exam

Intended for law students with little or no background in mathematics and statistics, Fundamentals of Statistical Analysis will provide basic tools needed for designing, conducting and critically assessing empirical legal research. Topics include: research design, introduction to probability, descriptive statistics, hypothesis testing, univariate and bivariate analysis, and statistical inference. The course is hands-on and applied in nature, it provides students an opportunity to become proficient in the use of Stata, the most widely used computer software in analyzing quantitative social science data.

Subject Areas: Business Organization, Commercial Law, and Finance, Disciplinary Perspectives & Law, Procedure & Practice