Course Overview

Date: 4 - 6 February 2026
Time: 9.30am to 4.00pm - each day
Delivery Mode: In-Person ONLY
Location: UNSW Sydney, Kensington Campus
Course Requirements:
- Participants must have basic R skills prior to workshop. If you do not have basic R skills but want to do this short course, you can enrol in our Introduction to R short course.
- You will need to bring and use your own computer during the workshop with both R and RStudio installed.

You will receive a certificate of completion for the course.

This workshop is designed as an introduction to statistical analysis for researchers. There is emphasis on understanding the concepts of statistical procedures (with a minimum of mathematics, although some will be discussed) and on interpreting computer output. It is designed to help you, the researcher. It is helpful if you have done an undergraduate statistics subject, although this workshop can serve as a first introduction or a refresher. The theory behind the statistical procedures will, in general, not be discussed.

A range of statistical analyses will be discussed in the workshop, as described in the outline below. We will talk through examples of all analysis types and will demonstrate how to carry them out in R. Equal emphasis will also be put on interpreting the output of these analyses. There will be plenty of practical work.

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Course Outline

Revision

• Descriptive statistics – mean, mode, standard deviation, inter-quartile range, correlation

• Data visualisation - boxplot, histogram, scatterplot, bar graph

Introduction to statistical inference

• Uncertainty, confidence intervals, p-values, significance/evidence

• T-test (comparing two groups)

• Checking model assumptions

Analysis of continuous responses with linear models

• Simple linear regression

• ANOVA

• Multiple regression, ANCOVA

Analysis of categorical responses

• Relative risk, odds ratios

• Chi-square test

• Logistic regression