Teacher in Charge: Mrs R. Roberts
This course consists of internally assessed Statistics standards.
-Bivariate data
-Time series data
-Statistical inference
-Linear programming
-Simultaneous Equations
Work book for Linear programming.
Prerequisite: 13 Credits in Level 2 including Inference.
There will be a waitlist for students who do not meet this requirement.
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. 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. 91587 v2 Mathematics and Statistics 3.15 - Apply systems of simultaneous equations in solving problems | 3 |
I |
3 |
* |
Y |
|
Total Credits |
Number of credits that can be used for overall endorsement: 18
* 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: 18 credits.
Internally Assessed Credits: 18 credits.
Analyst, Researcher, Data Scientist, Psychologist, Business, Biologist, Data Analyst, Big Data, Programmer, Analytics, Scientist, Finance, Economics
All subject selections are provisional only and are subject to:
and the final decision is at the discretion of the Head of Learning Area for that subject.