Level 3 Mathematics with Statistics

13MAST
Course Description

Teacher in Charge: Ms S. Haley

This course is a University Entrance Approved subject. It covers Time Series, Statistical Experiments, Bivariate Data Analysis, Critical Path Analysis, Simultaneous Equations and Linear Programming. This course has no external examination and therefore students studying it can not be awarded an individual subject endorsement but it can contribute to an overall Level 3 endorsement.


Contributions and Equipment/Stationery

Nulake Workbooks are available for purchase for some topics (approximately $7 each). It is highly advisable to bring your device (Chromebook, laptop or tablet) as software is used for most topics.


Recommended Prior Learning

Reasonable success in Level 2 Mathematics, including Inference or at the discretion of the HoLA.


Credit Information

This course is approved for University Entrance.

Assessment
Level
Internal or
External
Credits
L1 Literacy Credits UE Literacy Credits Numeracy Credits
A.S. 91574 v2 Mathematics and Statistics 3.2 - Apply linear programming methods in solving problems
3
I
3
*
Y
A.S. 91576 v2 Mathematics and Statistics 3.4 - Use critical path analysis in solving problems
3
I
2
*
Y
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. 91583 v2 Mathematics and Statistics 3.11 - Conduct an experiment to investigate a situation using experimental design principles
3
I
4
Y
*
Y
A.S. 91587 v2 Mathematics and Statistics 3.15 - Apply systems of simultaneous equations in solving problems
3
I
3
*
Y
Total Credits
Approved subject for University Entrance

Number of credits that can be used for overall endorsement: 20

* 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: 20 credits.
Internally Assessed Credits: 20 credits.