Full course description
Term: 2025
Date & Time: Self-Paced
Location: Online Only
Instructors: Stephanie DeHart & Kate Miller
Presented By: Statistical Application and Innovations Group (SAIG) & Professional Development Network (PDN)
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!'