Through a partnership with the College of Arts and Sciences (CAS) and the Graduate Student Association (GSA), all UB graduate students can receive free assistance with statistical aspects of their final projects (thesis, dissertation, qualifying paper/projects, course assignments). The lab caters to students with all levels of experience, even those with no stats background. Regular statistics workshops for students of all levels are also offered periodically.
The focus of this lab is to strengthen quantitative skills so that the student can independently interpret and draw conclusions from their analysis. The lab will offer guidance on research projects by instructing students on principles of research design, teaching statistical concepts and procedures and assist students with using/troubleshooting analytical software.
Registered graduate students can seek statistical support in 450 Park Hall at designated hours provided by the Statistics Lab Assistant during the academic year.
Monday and Friday, 8:30-10:30am, Thursday 2:00-3:30pm, or by appointment.
For an initial consultation, please stop by office hours or schedule an appointment by contacting Yulin Yang firstname.lastname@example.org.
Friday, October 13, 2017 and Friday, November 10,
Repeated workshops are offered every month to introduce students to the statistical vocabulary, concepts and techniques they may encounter in their personal and professional lives. Topics include descriptive statistics, probability, sampling distributions, statistical inference and hypothesis testing.
Friday, September 29, 2017
This workshop introduces students to basic knowledge of the R and R studio. Topics include software download and installation, useful resources for self-learning, basic expressions and functions, and conducting descriptive statistical analysis and regression analysis.
Friday, October 20, 2017
This workshop introduces students to basic knowledge of the STATA. Topics include the interface of the Stata, useful resources for self-learning, how to use Stata clean data, and how to conduct descriptive statistical analysis and regression analysis.
Friday, November 17, 2017
This workshop helps students who encounter the missing data problem during their analysis. Topics include types of missing data and the methods for dealing with missing data (multiple imputation or ML estimation).