Statistics for comparisons using R (QCIF) [webinar]

This is a QCIF course and places are highly limited as Graduate School is paying the fee. If you are unable to attend, please de-register (or email graduateschool@uq.edu.au if you are unable to do so). An unexplained absence could result in all your future QCIF registrations becoming Waitlisted.

Formerly known as Hypothesis testing using 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.

Learning Objectives

• Choose the right statistical test appropriate for the data and the research questions
• Carry out inferential statistics in R
• Generate plots, figures and tables of hypothesis tests using specific R packages
• Interpret and report the results of a range of commonly-used statistical tests

Syllabus

• An introduction to hypothesis testing terminology
• Correlation analysis between two continuous variables
• Statistical tests for both categorial and continuous variables
• ANOVA – testing with more than two groups

Pre-workshop preparation

Attendees must have previous experience in R and the RStudio interface. Please come with R and RStudio installed.

While you are waiting, get started with R and RStudio:

• Essential R resources - a list of key resources on R
• Links to materials used in the Centre for Digital Scholarship's different R courses
• Key R tutorials on LinkedIn Learning

NOTE: The examples used in this course will be from bioinformatics. You may also want to consider attending the R sessions in the Library. See the Library's training link for more information on the latest sessions.