- One Semester or equivalent
- 3 Hours per Week
On-campus unit delivery combines face-to-face and digital learning. For Online unit delivery, learning is conducted exclusively online.
Aims and objectives
This unit will run for the final time in 2022.
This unit of study expands on earlier units in the program, introducing students to other aspects of statistical computing. In particular, students will be introduced to one of the leading statistical software packages SAS - a powerful tool for organising and analysing data. Students will use this statistical software to further develop their knowledge in data management, data presentation, and statistical analysis.
Students who successfully complete this unit will be able to:
1. Demonstrate professionally-relevant SAS programming and data management skills.
2. Write SAS programs to enter, load, and merge different types of data from multiple sources.
3. Visualise data graphically using SAS graphical procedures.
4. Summarise data and perform descriptive statistical analyses using SAS procedures.
5. Conduct parametric and non-parametric analysis of variance for balanced and unbalanced study designs using SAS and interpret the results.
6. Perform linear regression analysis using SAS and interpret the results.
7. Analyse data using generalised linear model (GLM) techniques using SAS.