Level 3 Statistics

STA3
Subject Description

Teacher in Charge: R. Cookson

This course covers Level 3 Mathematics and Statistics Achievement Standards with a predominate focus on the use of Statistical methods . It is an appropriate course for students interested in quantitative aspects of the biological and social sciences, medicine, commerce and in general any field where the collection, analysis and interpretation of quantitative data is important.


Contributions and Equipment/Stationery

$31.50 Statistics workbook
Graphics calculator essential (Casio 9750 recommended).


Entry Guidelines

14 credits at Level 2 in Mathematics and Statistics

AS 2.12 (Probability) achieved with Merit or higher




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. 91585 v2 Mathematics and Statistics 3.13 - Apply probability concepts in solving problems
3
E
4
*
Y
A.S. 91586 v2 Mathematics and Statistics 3.14 - Apply probability distributions in solving problems
3
E
4
*
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.
Externally Assessed Credits: 8 credits.
Internally Assessed Credits: 12 credits.

Pathway Tags

Business Studies, Commerce, Education, Geography, Health Studies, Marketing, Nursing, Politics, Psychology, Social Work, Journalism, Town Planning, any career involving prediction, sampling and probability., Construction and infrastructure, Manufacturing and technology, The Primary Industries, The Service Industries, Social and Community services, Accountant, Actuarial Science, Computer Analyst or programmer, Economist, Engineering Analyst, Information Scientist, Marketing Research Analyst, Mathematician, Meteorologist, Numerical Analyst, Operations Research, Statistician, Systems Analyst, Teacher, Architecture or any career that has a major mathematical component


Disclaimer

An individual course will only run if sufficient students are accepted into the course.