This course introduces students to statistical thinking, statistical methods and the interpretation of results from these methods. Examples from a range of science related disciplines are used to illustrate the key concepts.
Availability2019 Course Timetables
- Semester 1 - 2019
- Semester 2 - 2019
On successful completion of the course students will be able to:
1. Identify appropriate methods of data collection (sampling and study designs) and analysis (e.g., for comparison of groups) for scientific studies
2. Identify and interpret appropriate graphs and summary statistics
3. Describe conceptually confidence intervals and hypothesis testing and interpret these in reports and articles
4. Describe conceptually statistical models and interpret corresponding results in reports and articles
5. Critically appraise statistical techniques/elements/aspects/issues in the scientific literature
Topics will include:
- Critical statistical appraisal of scientific papers and government reports
- Study designs;
- Descriptive statistics;
- Presentation and interpretation of data in tables and graphs;
- Confidence intervals and hypothesis testing;
- Data analysis techniques;
- Business writing formats: applying good writing rules to fact sheets, backgrounders, pitch letters, position papers, reports, and biographies;
A strong emphasis of the concepts will be made using a range of literature appearing in peer review journals and government reports.
This course has similarities to STAT1060. If you have successfully completed STAT1060 you cannot enrol in STAT1020.
Written Assignment: Assignments
Formal Examination: Formal Examination
Face to Face On Campus 2 hour(s) per Week for Full Term
Students are expected to complete 4 hours of guided learning via online preparation, lectures, interactive workshops, tutorials, discussion groups or self-directed learning and an additional 6 hours of independent study per week.