Building on a basic knowledge of R and introductory statistics, this workshop will walk you through the R functionality you'll need to use when conducting hypothesis tests on continuous variables. We will practice reading in data, conducting t-tests (both parametric and non-parametric), tests of equal variance, ANOVA, computing confidence intervals, and interpreting associated outputs. It is recommended that you have used R before (even if you consider yourself a beginner) and it is also recommended that you have taken an introductory statistics course.
Prior to the workshop, participants should install R first, followed by the free version of RStudio Desktop. Registrants will be emailed installation instructions. If you need help installing these, please schedule a coding consultation and we'd be glad to help you.
This workshop is part of the Using Programming and Code for Research series for for anyone who wants to get started or learn more about use programming languages like Python, R, or other applications. These tools can help you to collect, manipulate, clean, analyze, and visualize research data or automate many repetitive tasks. If you need personalized assistance with a data analysis, programming, or coding project, consider booking a consultation with one of our librarian-experts. Learn more about our services for programming and coding and for working with data.
All sessions are free to GW students, faculty, staff, and alumni. GW has an institutional commitment to ensuring that all of our programs and events are accessible for all individuals. If you require any accommodations to participate in this event, please contact email@example.com at least 72 business hours (3 business days) prior to the event.
In-person attendance of this workshop is open to GW students, faculty, and staff whose GWorld allows them to tap into Gelman Library. No visitors will be allowed into Gelman to attend this workshop. If you do not have access to Gelman, please attend online.