Teacher in Charge:
Recommended Prior LearningOpen Entry
Students are expected to demonstrate the ability to apply their fundamental mathematical skills and demonstrate a high level of understanding in classwork, assignment work and tests.
The course includes: probability concepts and distribution, time series, bivariate data, statistical inference and reports.
Leads to:
University courses in biological and social sciences, medicine, commerce, and in general any field where the collection, analysis and interpretation of quantitative data is important.
Assessment  Level 
Internal or External 
Credits 
L1 Literacy Credits  UE Literacy Credits  Numeracy Credits 

A.S. 91580 v2 Mathematics and Statistics 3.8  Investigate time series data  3 
I 
4 
Y 
* 
Y 
A.S. 91581 v2 Mathematics and Statistics 3.9  Investigate bivariate measurement data  3 
I 
4 
Y 
* 
Y 
A.S. 91582 v2 Mathematics and Statistics 3.10  Use statistical methods to make a formal inference  3 
I 
4 
Y 
* 
Y 
A.S. 91584 v2 Mathematics and Statistics 3.12  Evaluate statistically based reports  3 
E 
4 
Y 
4r,4w * 
Y 
A.S. 91585 v2 Mathematics and Statistics 3.13  Apply probability concepts in solving problems  3 
E 
4 
* 
Y 

A.S. 91586 v2 Mathematics and Statistics 3.14  Apply probability distributions in solving problems  3 
E 
4 
* 
Y 

Total Credits 
Number of credits that can be used for overall endorsement: 24
* Only students engaged in learning and achievement derived from Te Marautanga o Aotearoa are eligible to be awarded these subjects as part of the requirement for 14 credits in each of three subjects.
Total Credits Available: 24 credits.
Externally Assessed Credits: 12 credits.
Internally Assessed Credits: 12 credits.
The Standards offered are correct at time of writing
Course content may change by the start of the year