Traversing t-tests in R

Course description

This course explores the use of t-tests in R. 

SEE AVAILABLE DATES & ENROL BELOW

The primary goal of this workshop is to familiarise you with basic statistical concepts in R from reading in and manipulating data, checking assumptions, statistical tests and visualisations. This is not an advanced statistics course, but is instead designed to introduce you to statistical comparisons and hypothesis testing in R.

Learning Outcomes:

  • Read in and manipulate data
  • Check assumptions of t tests
  • Perform one-sample t tests
  • Perform two-sample t tests (Independent-samples, Paired-samples)
  • Perform nonparametric t tests (One-sample Wilcoxon Signed Rank test, Independent-samples Mann-Whitney U test)

Please register via the links below.

Thursday 21 May 9am-12pm
JOIN WAITLIST VIA EVENTBRITE

Tuesday 3 November 9am-12pm
REGISTER
 VIA EVENTBRITE

Prerequisites:
This course assumes familiarity with R and RStudio. You should have a good understanding of R syntax and basic programming concepts. Please consider attending Intersect’s following courses to get up to speed:

Training will be conducted via Zoom. A Zoom link will be shared with registrants a week before training date. 

About your Trainer:
Dr Ankit Beniwal is Intersect’s Digital Research Analyst (DRA) for Flinders University in 2026. He holds a PhD in Physics from the University of Adelaide and has held multiple post-doctoral positions in Europe. His technical expertise includes Python and R, complemented further by proficiency in qualitative research tools like Qualtrics, NVivo, REDCap, etc.

Type of course

Workshop

Upcoming events

Thursday, 21st May 2026

Time: 9:00AM - 12:00PM
Location: Web conference