MATH 1028 Statistical Decision Making
Credit Points 10
Legacy Code 300700
Coordinator Volker Gebhardt Opens in new window
Description Statistical Decision Making introduces students to various statistical techniques for analysing and interpreting data. Presentation of the content will emphasise the correct principles and procedures for collecting and analysing data, using statistical software. Topics include describing different sets of data, probability distributions, statistical inference, and simple linear regression and correlation. The open-source statistical software package R will be introduced and used in this subject. Analysing and interpreting data is crucial in many sectors of modern economy and society. Thus, basic competencies in statistics, data collection and data analysis are essential employability skills in virtually every profession.
School Computer, Data & Math Sciences
Discipline Statistics
Student Contribution Band HECS Band 1 10cp
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Level Undergraduate Level 1 subject
Equivalent Subjects MATH 1003
COMP 1014
MATH 1033
Incompatible Subjects MATH 1025
MATH 1032
MATH 1030
ECON 1006
MATH 1012
Learning Outcomes
On successful completion of this subject, students should be able to:
- Analyse data using traditional methods or modern resampling methods
- Use technology to assist in performing statistical analysis
- Recognise the limitations of data collection methods and demonstrate awareness of the influence of these limitations on inference
- Choose the correct statistical method for analysis and correctly interpret the results
Subject Content
- Collecting and describing data
- Probability
- Confidence intervals and hypothesis tests
- Simple linear regression
Assessment
The following table summarises the standard assessment tasks for this subject. Please note this is a guide only. Assessment tasks are regularly updated, where there is a difference your Learning Guide takes precedence.
Type | Length | Percent | Threshold | Individual/Group Task | Mandatory |
---|---|---|---|---|---|
Short Answer | 50 minutes | 11 | Y | Individual | Y |
Short Answer | 15 minutes (per workshop exercise) | 24 | N | Individual | Y |
Report | 15 hours per student | 15 | N | Group | Y |
Final Exam | 2 hours | 50 | Y | Individual | Y |
Prescribed Texts
- N/A
Teaching Periods
Surabaya Semester 2 (2025)
Surabaya
On-site
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Autumn (2025)
Campbelltown
Hybrid
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Penrith (Kingswood)
Hybrid
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Parramatta - Victoria Rd
Hybrid
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