Nelson College For Girls Nelson College For Girls

Level 3 Statistics

13MAS
Course Description

Contact Person: G. Holas-Clark.

Recommended Prior Learning

The course assumes previous probability knowledge from the 12MAA and 12MAT courses, so to have a good foundation, we would recommend that you have passed 14 credits from Year 12 Maths including M2.12 Probability. For students coming from the 12MAT course, credits from M2.9 Inference and M2.13 Simulations would also be beneficial.

If you do not gain the recommended credits, please talk to Mr Holas-Clark so that we can see what support and options may be available.


This course focuses on both statistical investigations and probability modelling, providing a balanced and powerful set of tools to understand, interpret, and evaluate the world using data. You will learn how to:

  • Analyse patterns over time using time series
  • Explore relationships between two variables using bivariate data techniques
  • Make formal inferences about populations based on sample data
  • Model chance and uncertainty using probability concepts and distributions

You’ll also develop critical thinking and communication skills, especially when interpreting real-world statistical information from media, research, and everyday life.

This course is ideal for students who enjoy real-world problem solving and evidence-based reasoning. It is a great fit for those interested in careers or tertiary study in:

  • Psychology, education, and social sciences
  • Business, economics, and marketing
  • Data science, statistics, and artificial intelligence
  • Environmental and political sciences
  • Sport science and human performance research
  • Health sciences and medicine (although 13MAC is recommended for biomed due to the physics content of the first-year course)

Students who enjoy interpreting data, exploring relationships, discussing their conclusions and evaluating uncertainty will find this course both practical and intellectually rewarding.



Learning Areas:

Mathematics


Career Pathways

Mining Engineer, Actuary, Air Traffic Controller, Mechanical Engineering Technician, Software Developer, Statistician, Audiologist/Audiometrist, Bank Worker, Physician, Surgeon, Urban/Regional Planner, Meteorologist, Clinical Coder, Information Technology Helpdesk/Support Technician, Technical Writer, Corrections Officer, Dietitian, Forensic Scientist, Environmental Scientist, Economist, Environmental/Public Health Officer, Veterinarian, Market Research Analyst, Policy Analyst, Secondary School Teacher, Telemarketer, Intelligence Officer, Test Analyst, Network Administrator, Case Manager, Data Analyst



			
					
					Contributions and Equipment
										

Workbooks recommended
Walker Maths
3.8 Time Series Data
3.9 Bivariate Data
3.10 Statistical Inference
3.13 Probability Methods
3.14 Probability Distributions


Disclaimer

Courses are based on student choice, so some courses may not run.