L3MAS

Mathematics with Statistics Level 3

Course Description

Teacher in Charge: Mrs S. Shaikh.

The Level 3 Mathematics with Statistics course teaches students the skills to collect, process, display and analyse data. Probability concepts and distributions are also covered. These skills prepare our students for the quantitative aspects of Science, Social Science, Business, or any field where statistical analysis and making sense of data is important. 

The use of technology to explore and analyse data is a focus of this course which reflects the changing world of data analysis. Students will use computer based analytical skills to conduct statistical investigations and draw conclusions from raw data.

A combination of internal and external achievement standards, the topics in this course include Probability Concepts, Probability Distributions, Inference Investigations, Bivariate Data Investigations and Linear Programming.

L3MAS is recommended for students who successfully completed the L2MAS course. This means 14 credits in L2MAS with at least Achieved in AS91267 (Apply probability methods in solving problems). As this course requires writing statistical reports, a good level of English is beneficial.

Students who studied L2MAC may take Level 3 Statistics with permission from the Head of Department,

Scholarship Statistics will be made available to students who performed to a high standard in Level 2 Mathematics and are willing to commit to the study program.


Course Overview

Term 1
Inference (internal) and Linear Programming (internal)

Term 2
Bivariate Data (internal) and Probability (external)

Term 3
Probability Distributions (external)

Term 4
Revision for external exams

Recommended Prior Learning

14 credits in L2MAS with at least Achieved in AS91267 (Apply probability methods in solving problems)

Contributions and Equipment/Stationery

A Graphics Calculator (Casio fx9750G) is required for this course.

Career Pathways

Credit Information

You will be assessed in this course through all or a selection of the standards listed below.

Total Credits Available: 19 credits.
Externally Assessed Credits: 8 credits.
Internally Assessed Credits: 11 credits.

Assessment
Description
Level
Internal or
External
Credits
L1 Literacy Credits
UE Literacy Credits
Numeracy Credits
A.S. 91574 v2
NZQA Info
Mathematics and Statistics 3.2 - Apply linear programming methods in solving problems
3
3
3
Level: 3
Internal or External: Internal
Credits: 3
Level 1 Literacy Credits: 0
University Entrance Literacy Credits: 0 *
Numeracy Credits: Y
A.S. 91581 v2
NZQA Info
Mathematics and Statistics 3.9 - Investigate bivariate measurement data
Level: 3
Internal or External: Internal
Credits: 4
Level 1 Literacy Credits: 0
University Entrance Literacy Credits: 0 *
Numeracy Credits: Y
A.S. 91582 v2
NZQA Info
Mathematics and Statistics 3.10 - Use statistical methods to make a formal inference
4
4
4
4
Level: 3
Internal or External: Internal
Credits: 4
Level 1 Literacy Credits: 0
University Entrance Literacy Credits: 0 *
Numeracy Credits: Y
A.S. 91585 v2
NZQA Info
Mathematics and Statistics 3.13 - Apply probability concepts in solving problems
4
4
4
Level: 3
Internal or External: External
Credits: 4
Level 1 Literacy Credits: 0
University Entrance Literacy Credits: 0 *
Numeracy Credits: Y
A.S. 91586 v2
NZQA Info
Mathematics and Statistics 3.14 - Apply probability distributions in solving problems
4
4
4
Level: 3
Internal or External: External
Credits: 4
Level 1 Literacy Credits: 0
University Entrance Literacy Credits: 0 *
Numeracy Credits: Y
Credit Summary
Total Credits: 19
Total Level 1 Literacy Credits: 0
Total University Entrance Literacy Credits: 0
Total Numeracy Credits: 19

Approved subject for University Entrance

Number of credits that can be used for overall endorsement: 19

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.