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.
Or by appointment.
For an initial consultation, please stop by office hours or schedule an appointment by contacting Taylor B. Anderson via email at email@example.com
Thursday, February 8, 2018
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.
Friday, February 9, 2018
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.
Friday, February 16, 2018
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.
Thursday, March 8, 2018
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.
Friday, March 9, 2018
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.
Thursday, March 15, 2018
This workshop covers regression analysis, including the ordinary least squares (OLS) method and ANOVA methods, using the R language and RStudio environment.