This practical workshop will help participants to choose and use the appropriate statistical test for their data by introducing key concepts of inferential statistics in R. Participants will learn how to compute, report, and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA.

Please note: Prior knowledge of R and RStudio is required for this workshop as the basics of R will not be covered. Please do not register unless you have this experience. Beginners should consider the course Introduction to Programming: R for Reproducible Scientific Analysis.

FAQs

What should I bring into the event?

This is an online workshop, so you will need to provide your own computer with R and RStudio pre-installed, and have access to a reliable internet connection sufficient for video conferencing. A second monitor is highly recommended.

Chromebooks and tablets are not suitable for this workshop; you will need a full-function computer.

What prior experience do I need?

Prior experience with R and the RStudio interface is required, as the basics of R will not be covered.

Who should attend?

Researchers wanting to understand how to choose the right statistical test for the context/condition and how to conduct the analysis by themselves using R.

How can I contact the organiser with any questions?

You can email training@qcif.edu.au.

What's the cancellation policy?

Cancellations are accepted up to three working days before the start of the workshop. If you do not join on the day without having cancelled beforehand, you may be blocked from attending any future QCIF training workshops.