About this subject
On completion of this subject students should be able to achieve the following learning outcomes:
1. Summarise data graphically and numerically
2. Visualise statistical analysis of data sets using software.
3. Draw conclusions from the visualisation of data and number sets.
4. Apply data analysis techniques.
5. Calculate probabilities for discrete and continuous probability distributions.
6. Communicate an understanding of theoretical concepts in an oral presentation.
- Descriptive statistics
- Continuous distributions
This subject provides an introduction to statistical theory. It equips students with an understanding of statistical practices and data analysis techniques. It covers data analysis, probability, random variables and the use of statistical software.
- Written class test. (30%)
- Oral presentation on Problems (20%)
- Final Exam (50%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Part of a degree
To enrol in this subject you must be accepted into one of the following degrees:
- UND-MTE-GDI-2024 - Graduate Diploma of Mathematics Education
- UND-MTH-GCE-2024 - Graduate Certificate in Mathematics
No additional requirements
This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.
Once you’ve completed this subject it can be credited towards one of the following courses