Statistics is a University Entrance course and can lead to careers in Accounting, Biology, Computer Science, Economics, Engineering, Management, Data Science, and Physics.
A lot of the content involves contextualising and analysing data and reports. This becomes very useful in interpreting media and research yourself for validity.
We will be using education perfect also.
To wake up the brain for the year we will study 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.
The assessment is an internal and worth 4 credits.
The content is also referred to in the external exam "Evaluating Statistically based reports" and as you may want to use Statistics as part of your University Entrance credits, this is a good chance to get the first 4 credits under your belt.
NCEA year plan:
AS 91581 Bivariate data 4 credits (internal)
Investigate the relationships of two or more sets of real data to draw conclusions.
91580 Investigate time series data 4 credits (internal)
Look at patterns over time in a set of data.
AS 91582 Statistical inference 4 credits (internal)
Learn two methods commonly used for determining the reliability of statistical inferences.
AS 91585 Probability concepts 4 credits (external)
This adds several more tools for calculating more complex probability probabilities than you have so far.
AS 91586 Probability distributions 4 credits (external)
You learn to use four different models, commonly used in the world, of predicting probability.
AS 91584 Evaluate statistical reports 4 credits (external) - Optional.
Get more skilled in assessing the truth of statistics information. (reading and writing UE literacy)