Graduate Statistics Lab

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. 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. 

Office Hours

To mitigate the possibility of exposure to COVID-19 and follow UB’s policy, office hours and individual consults will change into Zoom meetings after March 23, 2020.

During scheduled office hours, use your UB account to access Zoom meetings to communicate with the student assistant of your questions. Use the access code and link 984 300 262 to access virtual meetings during scheduled office hours. If you have a time conflict, email Jou Fei Huang to arrange online Zoom consults. Here is the instruction of using Zoom

Virtual Office Hours (to 05/15/2020):
Monday 3:00-5:00 p.m.
Thursday 3:00-5:00 p.m.
Friday 3:00-5:00 p.m. 

Direct demonstration of statistical modeling on statistical software is limited to Stata and R through remote instruction. If you have questions about using other software, such as SAS or SPSS, the student assistant will help you find related online teaching demonstrations or learning materials.

Previous Workshops' Materials

Assistance includes (but is not limited to):

Research Design

  • Technical aspects/principles of theory development and hypothesis testing
  • Experimental design
  • Survey design and sampling
  • Secondary data analysis

Quantitative Methods

  • Linear regression, logistic regression, and generalized logistic regression
  • Multilevel modeling
  • Structural equational modeling
  • Experimental methods and testing
  • Data mining/text analysis

Statistical Software and Programming

  • STATA, R, and SPSS.