Units / SCI1020
SCI1020 · Introduction to statistical reasoning
2027 Handbook6 credit pointsLevel 1School of Mathematics
Overview
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) |
| Clayton | First semester | Flexible (FLEXIBLE) |
| Malaysia | First semester | Teaching activities are on-campus (ON-CAMPUS) |
| 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
prohibition
PROHIBITION: STA1010, ETC1000, ETW1000, ETW1102, ETX1100, FIT1006, MTH1030 and ENG1005. Note that SCI1020 is an introductory unit and if you have already completed one of these prohibited units you cannot subsequently enrol in SCI1020. If you have completed MTH1030 or ENG1005 should enrol in STA1010 instead.
STA1010ETC1000ETW1000ETW1102ETX1100FIT1006MTH1030ENG1005Learning 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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