03STA

NCEA Level 3 Statistics

Course Description

Teacher in Charge: Drew McWhinnie.


Statistics, at its disciplinary core, is the science of understanding data. 

Qualitative data, which is difficult or impossible to quantify, and quantitative data are both types of information that statistics helps us analyse, process and use.

The better grasp you have on statistics and statistical analysis, the more prepared you’ll be in a range of activities and situations, from playing games to doing your job. 

Statistical analysis is prevalent in all walks of life, and no student should graduate without a basic understanding of statistics. 

Statistical analysis is useful in every single academic discipline and virtually every job you’ll ever have (if not to your tasks specifically, it will be to your organisation). 

An understanding of basic statistics helps you make decisions about where to live, how to use your time and money, and how to evaluate the information around you.

In this course, you will learn about probability laws and distributions.

The course investigates methods of regression analysis and the development of mathematical models to describe relationships between random variables.


Recommended Prior Learning

You should have gained at least Merit in 2.10 Experiments or 2.9 Inference, AND a minimum of 12 Maths credits at Level 2. 

Students with Merit in 2.12 Probability will be given preferential entry into this course.

Final entry is subject to the approval of the Head of Department of Mathematics.

Course Costs

Students will require 4x 1E8 books.

Description Type Value
Workbook Contribution $18.00
NZGrapher Contribution $1.00
$19.00

Career Pathways

Credit Information

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

Total Credits Available: 18
Internal Assessed Credits: 0
External Assessed Credits: 18
Optional Credits Available: 0
Optional Internal Assessed Credits: 0
Optional External Assessed Credits: 0
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


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. 91585 v2
NZQA Info

Mathematics and Statistics 3.13 - Apply probability concepts in solving problems


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


Level: 3
Internal or External: External
Credits: 4
Level 1 Literacy Credits: 0
University Entrance Literacy Credits: 0 *
Numeracy Credits: Y
A.S. 91587 v2
NZQA Info

Mathematics and Statistics 3.15 - Apply systems of simultaneous equations in solving problems


Level: 3
Internal or External: Internal
Credits: 3
Level 1 Literacy Credits: 0
University Entrance Literacy Credits: 0 *
Numeracy Credits: Y
Credit Summary
Total Credits: 18
Total Level 1 Literacy Credits: 0
Total University Entrance Literacy Credits: 0
Total Numeracy Credits: 18

Approved subject for University Entrance

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.

Disclaimer

Course availability is dependent on numbers and staffing, and course entry cannot be confirmed until the beginning of the 2025 school year.