Level 3 Mathematics with Statistics
13MS Subject DescriptionTeacher in Charge: Mrs R. Roberts
The course is based on Level 8 of the NZ Mathematics and Statistics Curriculum and includes:
Statistical investigations
- Time series data analysis
- Bivariate data analysis
- Statistical inference
- Probability concepts
- Statistical reports
Optional extra - Probability distributions - Scholarship
Contributions and Equipment/Stationery
Workbooks for the external examinations
Recommended Prior Learning
At least Merit in both of the Level 2 Standards AS 91267 Probability and AS 91264 Inference or by teacher referral.
If a student from 12MSI wants to do this course, this will need to be discussed with their teacher. The student will have work to complete over the summer holiday if approved.
Credit Information
This course is eligible for subject endorsement.
This course is approved for University Entrance.
| 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 |
4w * |
Y |
| A.S. 91585 v2 Mathematics and Statistics 3.13 - Apply probability concepts in solving problems | 3 |
E |
4 |
* |
Y |
|
Total Credits |
||||||
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.
Externally Assessed Credits: 8 credits.
Internally Assessed Credits: 12 credits.
Analyst, Analytics, Research, Data, Big Data, Programming, Computing, Finance, Business, Psychology, Sciences
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