Group Comparisons Explained

Learn how to effectively compare group means and interpret your data using R. This one-hour, in-person workshop walks through standard group-comparison techniques, combining core statistical concepts with interactive coding exercises.

Topics Covered:

• Two-sample t-tests and Analysis of Variance (ANOVA)

• Common post-hoc tests for pairwise group comparisons

• Non-parametric counterparts (time permitting)

• Practical interpretation of R output and statistical results

This in-person workshop will take place at DC 1568 and includes practical exercises.

Registration is free and open to all University of Waterloo faculty, staff, and students (both graduate and undergraduate). 

Please use the Portal to register for this event.