MATH 7016 The Nature of Data
Credit Points 10
Legacy Code 301114
Coordinator Gizem Intepe Opens in new window
Description This subject covers concepts of data centric thinking. The main areas discussed are; Populations and Samples; Sampling concepts; Types of Data; Descriptive Methods; Estimation and Inference; and Modelling. The subject takes a computational and nonparametric approach, before discussing theoretical concepts and Normal distribution theory as large sample approximations.
School Computer, Data & Math Sciences
Discipline Statistics
Student Contribution Band HECS Band 1 10cp
Check your fees via the Fees page.
Level Postgraduate Coursework Level 7 subject
Restrictions
Students must be enrolled in a postgraduate program.
Assumed Knowledge
Undergraduate degree with some statistical content (1 subject) is useful.
Learning Outcomes
On successful completion of this subject, students should be able to:
- Describe types of data and the relevance to real world examples
- Design data collection strategies that provide unbiased and reliable data
- Apply appropriate computer based strategies to estimate population parameters of interest
- Analyze data to make inferences about populations
- Create and evaluate simple predictive models, using computer software
- Evaluate literature and identify common statistical mistakes.
Subject Content
1. The Types, Description and Exploration of Data
2. Collecting Good Data
3. Probability Theory
4. Computer assisted Estimation and Inference
5. Linear Modelling
6. Large Samples and Normal Theory
7. Common Statistical Mistakes
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 |
---|---|---|---|---|---|
Quiz | 5 x 30 minutes | 20 | N | Individual | N |
Final Exam | 2 hour | 40 | Y | Individual | Y |
Report | 4 weeks/approx. 3000 words | 40 | N | Individual | N |
Prescribed Texts
- Lock, & Lock, Patti Frazer (2019). Statistics : unlocking the power of data (Second edition, EMEA edition.).
Teaching Periods
Autumn (2024)
Parramatta City - Macquarie St
On-site
Subject Contact Gizem Intepe Opens in new window
View timetable Opens in new window
Quarter 2 (2024)
Parramatta City - Macquarie St
On-site
Subject Contact Kenan Matawie Opens in new window
View timetable Opens in new window
Spring (2024)
Melbourne
On-site
Subject Contact Gizem Intepe Opens in new window
View timetable Opens in new window
Parramatta City - Macquarie St
On-site
Subject Contact Gizem Intepe Opens in new window
View timetable Opens in new window
Quarter 4 (2024)
Parramatta City - Macquarie St
On-site
Subject Contact Gizem Intepe Opens in new window
View timetable Opens in new window
Autumn (2025)
Parramatta City - Macquarie St
On-site
Subject Contact Gizem Intepe Opens in new window
View timetable Opens in new window
Quarter 2 (2025)
Parramatta City - Macquarie St
On-site
Subject Contact Kenan Matawie Opens in new window
View timetable Opens in new window
Spring (2025)
Melbourne
On-site
Subject Contact Gizem Intepe Opens in new window
View timetable Opens in new window
Parramatta City - Macquarie St
On-site
Subject Contact Gizem Intepe Opens in new window
View timetable Opens in new window
Quarter 4 (2025)
Parramatta City - Macquarie St
On-site
Subject Contact Gizem Intepe Opens in new window