GW: Statistical Inference with R: Inference for Continuous Data (Virtual)
Statistical Inference with R: Inference for Continuous Data (Virtual)
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.
This workshop is part of the Using Programming and Code for Research workshop 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.
All sessions are free to GW students, faculty, staff, and alumni.