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 graduate students 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

Monday: 2:00-4:00pm*
Tuesday: 11:00am-1:00pm
Thursday: 2:00-3:00pm
Friday: 9:00-11:00am
Or by appointment

For an initial consultation, please stop by office hours or schedule an appointment by contacting Taylor B. Anderson via email at tbanders@buffalo.edu

*Monday office hours will begin on Sept. 24, 2018 and continue for the remainder of the semester.

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, SPSS, SAS, MATLAB and Python.

Workshops

Review of Statistical Tests (T-tests, Z-tests, ANOVA/F-tests, Chi-Square tests)

Friday, Sept. 14, 2018
11am-12:00pm

This workshop covers when it is appropriate to use various statistical tests for analysis. Practice problems will be provided to compute by hand (or in excel) together, along with explanation.

Getting Started with R for Statistics

Thursday, Sept. 20, 2018   
2:00-3:00pm

This workshop introduces students to R and RStudio. Topics include software download and installation, useful resources for self-learning, basic expressions and functions, and conducting basic descriptive statistical and regression analysis.

Getting Started with MATLAB for Statistics

Friday, Sept. 21, 2018
11am-12:00pm

This workshop introduces students to MATLAB and the software’s computing environment. Topics include software download and installation, useful resources for self-learning, basic expressions and functions, and conducting basic descriptive statistical and regression analysis.

Statistical Tests in R (T-tests, Z-tests, ANOVA/F-tests, Chi-Square tests)

Thursday, Oct. 11, 2018       
2:00-3:00pm

This workshop briefly covers when it is appropriate to use various statistical tests for analysis. However, the focus of the workshop is on computing these tests in the R programming language with practice data.

Statistical Tests in MATLAB (T-tests, Z-tests, ANOVA/F-tests, Chi-Square tests)

Friday, Oct. 12, 2018
11am-12:00pm

This workshop briefly covers when it is appropriate to use various statistical tests for analysis. However, the focus of the workshop is on computing these tests in the MATLAB software with practice data.