Units / SCI1020
SCI1020 · Introduction to statistical reasoning
2026 Handbook6 credit pointsLevel 1School of Mathematics
Last checked: 23 Aug 2026 UTCOverview
This unit will introduce to you the principles of data production and the practical application of descriptive and inferential statistical techniques to real-world problems in various scientific fields. You will develop skills during applied classes including collaborative problem solving and using Microsoft Excel for statistical analysis of real world problems. Upon completion, you will be able to make informed statistical decisions and communicate your findings in a clear and scientifically meaningful manner.
Offerings
| Campus | Teaching period | Mode |
|---|---|---|
| Malaysia | October intake teaching period, Malaysia campus | Teaching activities are on-campus (ON-CAMPUS) |
| Malaysia | Second semester | Teaching activities are on-campus (ON-CAMPUS) |
| Malaysia | First semester | Teaching activities are on-campus (ON-CAMPUS) |
| Clayton | First semester | Flexible (FLEXIBLE) |
| Clayton | Second semester | Flexible (FLEXIBLE) |
Assessment
The Handbook lists an examination for this unit.
| # | Assessment | Type | Weight | Hurdle |
|---|---|---|---|---|
| 1 | Quizzes | Quiz / Test | 10% | — |
| 2 | Problem-solving activities | Exercise | 10% | — |
| 3 | Statistical analysis projects | Project | 30% | — |
| 4 | Mid-semester test | Quiz / Test | 20% | — |
| 5 | Final assessment - Exam (2 hours and 10 minutes) | Examination | 30% | — |
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Requisites
The Handbook lists no prerequisite, corequisite or prohibition for this unit.
Learning outcomes
- Demonstrate a deep conceptual understanding of the principles of data collection, analysis and interpretation using descriptive and inferential statistical techniques;
- Utilise Microsoft Excel to present and interpret data through numerical summaries and graphical representations of data;
- Apply appropriate descriptive and inferential statistical techniques to real problems in the science disciplines;
- Make statistical decisions and communicate findings in a meaningful scientific way.
Workload
• One 1.5-hours seminar; • One 2-hour applied class and • 8.5 hours of independent study per week.
| Activity | Duration |
|---|---|
| Applied sessions | 24 hours |
| Seminars | 18 hours |
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