Units / PHI5041
PHI5041 · Introductory biostatistics
2026 Handbook6 credit pointsLevel 5Department of Epidemiology and Preventive Medicine
Last checked: 23 Aug 2026 UTCOverview
This unit introduces you to biostatistics as applied to public health and management studies. Biostatistics is the science of describing, summarising, and analysing health-related data. It is essential to understand biostatistics in order to design, conduct, and interpret health-related research. The basic principles and methods used in biostatistics are covered in this unit. This includes the technical qualifications necessary for analysing and interpreting data on a descriptive and bivariate level. Topics include classifying health data; summarising data using simple statistical methods and graphical presentation; sampling distributions; quantifying uncertainty in results from a sample; working with statistical distributions; comparing two or more groups/methods using confidence intervals and hypothesis tests (p - values); assessing the association between an outcome and an exposure using the chi-squared test; using risk comparisons (RR and OR); predicting an event or identifying risk factors for an event of interest where the event is measured on a continuous scale or a binary scale (yes/no).
Areas of study: Public health Biostatistics
Offerings
| Campus | Teaching period | Mode |
|---|---|---|
| Indonesia | Monash Indonesia term 1 | Teaching activities are on-campus (ON-CAMPUS) |
Assessment
The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.
| # | Assessment | Type | Weight | Hurdle |
|---|---|---|---|---|
| 1 | Summarizing data (2,000 words), plus cover page, tables, and graphs | Exercise | 20% | — |
| 2 | Evaluating research hypothesis (2,500 words) plus cover page, tables, and graphs | Written | 35% | — |
| 3 | Evaluation of advanced research hypotheses (3,000 words) plus cover page, tables, and graphs | Written | 45% | — |
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Requisites
Learning outcomes
- Classify data into appropriate measurement types.
- Present data using relevant tables, graphical displays, and summary statistics, quantify uncertainty in study results.
- Formulate research hypotheses into a statistical context in public health studies.
- Estimate quantities of interest and evaluate hypothesis with appropriate statistical methods.
- Accurately interpret statistical methods and results reported in health publications.
- Analyse data using a specific software package.
Workload
24 hours per week including directed and self-directed learning (scheduled classes, prescribed activities and independent work).
| Activity | Duration |
|---|---|
| Lectures | 2 hours |
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