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STATS 2
ABOUT THIS COURSE
ABOUT THIS COURSE
This course is designed to develop students’ statistical and mathematical reasoning through a range of problem-solving techniques and real-world applications. Students will explore and apply methods such as statistical inference, experimental design, questionnaire design, simulations, report writing, and probability modelling.
Through these topics, students will learn to collect and analyse data, interpret results, and communicate findings effectively—building the analytical and critical-thinking skills needed for further study and a variety of career pathways.
What should I have already achieved?
What should I have already achieved?
It is recommended that you have achieved the Level 1 Statistics Achievement Standards (Multivariate and Bivariate Analysis) in MAT1 in 2025.
To fully participate in this course, access to a personal computing device (such as a laptop or Chromebook) is recommended, as you will be using spreadsheets and online statistical software throughout the year. This software is free to use and does not require any additional cost.
A Casio FX-8200AU Scientific Calculator is also highly recommended, particularly for the Probability Distributions external assessment.
What will I learn?
What will I learn?
In this course, you will strengthen your ability to think critically and reason statistically and mathematically. You will learn how to collect, analyse, and interpret data to make informed conclusions and communicate your findings clearly.
You will explore a range of key areas, including:
Statistical Inference: Using sample data to make predictions or decisions about a wider population.
Statistical Reports: Planning and conducting investigations, analysing real-world data, and presenting results in a clear, logical way.
Experiments: Designing and carrying out investigations to test hypotheses and understand relationships between variables.
Questionnaire Design: Developing effective survey questions and collecting meaningful responses to explore social, scientific, or environmental issues.
Simulations: Using technology (such as spreadsheets or random number generators) to model and analyse real-life situations.
Probability Methods: Understanding and applying probability concepts to predict outcomes and make informed decisions under uncertainty.
By the end of the course, you will be able to use statistical tools and reasoning to solve practical problems, support your ideas with evidence, and communicate your results confidently.
Career Pathways
Career Pathways
Studying Statistics and Mathematics opens doors to a wide range of future study and career opportunities. The skills you gain—such as problem solving, data analysis, logical reasoning, and clear communication—are highly valued across many industries.
Possible career pathways include:
Data and Research Fields: Statistician, Data Analyst, Data Scientist, Market Researcher, Policy Analyst
Business and Finance: Accountant, Financial Analyst, Economist, Business Consultant, Risk Manager
Science and Technology: Engineer, Environmental Scientist, Software Developer, Biostatistician
Health and Social Sciences: Public Health Researcher, Psychologist, Sociologist, Medical Researcher
Education and Communication: Teacher, Lecturer, Education Researcher, Technical Writer
Government and Community Roles: Demographer, Urban Planner, Quality Assurance Officer, Project Coordinator
This course provides a strong foundation for further study in areas such as Statistics, Mathematics, Economics, Commerce, Science, Engineering, Health Sciences, and Social Sciences.
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