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

Monday 4:00-5:00pm
Thursday 2:00-5:00pm
Friday 11:00-1:30pm
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

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

  • Includes STATA, R, SPSS, SAS, MATLAB and Python.

Workshops

Review of Statistical Tests

T-tests, Z-tests, ANOVA/F-tests, Chi-Square tests

Thursday, March 8, 2018
3:30-4:30pm

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

Statistical Tests in R

T-tests, Z-tests, ANOVA/F-tests, Chi-Square tests

Friday, March 9, 2018
11:00-11:50am

This workshop briefly covers when it is appropriate to use each statistical test, listed above, 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, March 9, 2018
12:00-12:50pm

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

Missing Data

Thursday, April 5, 2018
3:30-4:30pm

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.

Power Analysis

Friday, April 6, 2018
12:00-12:50pm

The aim of this workshop is to introduce the general concept of power and sample size calculation to students. Topics include statistical power analysis, its purpose in research methodology, and sample size calculation.

Past Workshops

Basic Statistics

Thursday, February 8, 2018
3:00-4:00pm 

The aim of this workshop is 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.

Getting Started with R for Statistics

Friday, February 9, 2018
12:00-1:00pm

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

Getting Started with MATLAB for Statistics

Friday, February 16, 2018
12:00-1:00pm

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