Mathematics & Statistics
Document outlining 2024/2025 Mathematics plan.
Note that levels 4 and 5 are intended to be two year programmes.
Statistics is a University Entrance course and can lead to careers in Accounting, Biology, Computer Science, Economics, Engineering, Management, Data Science, and Physics. The knowledge is useful in many fields because we often end up needing to gather and analyse data.
A lot of the content involves writing statistical reports more than "pure" math skills.
To wake up the brain for the year we will study Raraunga Matarua | Bivariate Data. Here we try to find if there is a relationship between two sets of data. Lots of the work will be done on a computer. You should have studied graphs at level 1 previously and having studied Statistics at previous levels will be a real help to you.
I will try and use datasets that are relevant to students and am happy to find data relating to student interest.
We will then start the similar assessment on time series.
NCEA year plan:
AS 91581 Raraunga Matarua | Bivariate data 4 credits (internal)
Investigate the relationships of two or more sets of real data to draw conclusions.
91580 Raraunga Houanga | Investigate time series data 4 credits (internal)
Look at patterns over time in a set of data.
AS 91582 Hīkaro | Statistical inference 4 credits (internal)
Learn two methods commonly used for determining the reliability of statistical inferences.
AS 91585 Tūponotanga | Probability Concepts 4 credits (external)
This adds several more tools for calculating more complex probability probabilities than you have so far.
AS 91586 Tuaritanga Raraunga | Probability distributions 4 credits (external)
You learn to use four different models, commonly used in the world, of predicting probability.
AS 91584 Arotake i nga Pūrongo | Evaluate statistical reports 4 credits (external) - Optional.
Get more skilled in assessing the truth of statistics information. (reading and writing UE literacy)