Full course description
Term: Fall 2024
Date: November 1st, 2024
Time: 3:00pm - 5:00pm
Location: Graduate Life Center Room 40
Instructors: Stephanie DeHart & Kate Miller
Presented By: Statistical Applications and Innovations Group (SAIG)
Description:
Do you have continuous data from a sample and want to test the plausibility of a population feature? In other words, do you want to know if increased values in your sample are significant? Are you interested in comparing the average response between two different groups? Or if the treatment you applied to your sample led to an increase or decrease in performance? In the SAIG Short Course T-tests in R, we will cover the different situations in which t-tests, a common statistical procedure, are applied. The following topics will be covered:
• Hypothesis testing
• One sample t-tests
• Two sample t-tests
• Paired t-tests
• Nonparametric t-tests
No previous coding experience is required! Bring your laptop with R and RStudio installed on your machine. You can download them from the following links:
https://www.r-project.org/
https://www.rstudio.com/products/rstudio/download/
If you already have R and RStudio on your laptop, make sure they are the most up to date versions.