NCEA Level 3 Mathematics with Statistics

The 13MAS course consists of a combination of Level 3 Mathematics and Level 3 Statistics standards. It is designed for students who are not taking Level 3 Mathematics with Calculus, but would like to continue with Mathematics at Level 3, rather than doing a pure Statistics course. To be successful, students will require competence in the skills learnt in Level 2, as listed in the prerequisites.

Level 3 Mathematics with Statistics is a UE approved subject.

Note that none of the achievement standards contribute towards UE literacy.

This course builds on students’ algebraic problem-solving skills and introduces them to a range of mathematical and statistical tools for analysing data, managing projects, and making informed decisions under uncertainty. It is particularly valuable for students interested in pathways such as Education, Business, Physical Education, Psychology, Management and the Social Sciences, where analytical and data-handling skills are essential.

Students will explore:

• Linear Programming: Learn how to model and solve real-life optimisation problems, such as maximizing profit or minimizing cost, using graphical methods. These skills are widely used in logistics, operations research, and business planning.
• Systems of Equations: Develop strategies to solve interconnected equations, which are foundational in fields like economics, engineering, and computer science for modeling and solving complex problems.
• Critical Path Analysis: Gain insight into project management by learning how to plan and schedule tasks efficiently. Students will understand how to identify the most critical tasks in a project to avoid delays and make the best use of time and resources—skills essential in industries like construction, event planning, and operations management.
• Bivariate Data Analysis: Investigate relationships between two variables using statistical techniques. This is a key skill in research, marketing, health sciences, and social sciences, where interpreting trends and making data-driven decisions is crucial.
• Probability Concepts and Distributions: Understand how to assess and manage risk in uncertain situations. Students will learn to model real-world scenarios using probability distributions, a skill highly valued in finance, insurance, data science, and strategic planning.

Throughout the course, students will develop critical thinking, problem-solving, and data interpretation skills that are directly transferable to many workplace environments. 

Comparing Courses: 13STAT and 13MAS