STA3

Statistics Level 3

Course Description

Teacher in Charge: Mr D. Neufeld.

Statistics Level 3

This course is a very useful course at Level Three. You will gain a completely different view of the statistics you hear in the media and will be well informed not just for further study but life in general. A good grounding in statistics is rapidly becoming one of the most sought after skills in many career options and this course prepares you for that. 

You will learn to use your own sense of curiosity to answer questions of data, learn to use your writing skills to convince others of your results and then learn how to use statistics to critically evaluate the statistics you see in everyday life. 

Students without access to a tablet or laptop may be disadvantaged when school devices are unavailable. 

As part of this course, students will be entered into 5 assessments.


There are 3 internal assessments.

A.S. 91581 v2 Mathematics and Statistics 3.9 - Investigate bivariate measurement data 

A.S. 91583 v2 Mathematics and Statistics 3.11 - Conduct an experiment to investigate a situation using experimental design principles 

A.S. 91580 v2 Mathematics and Statistics 3.8 - Investigate time series data 


There are 2 external assessments.

A.S. 91584 v2 Mathematics and Statistics 3.12 - Evaluate statistically based reports

A.S. 91586 v2 Mathematics and Statistics 3.14 - Apply probability distributions in solving problems




Course Overview

Term 1
Bivariate Investigation

Experimental Investigation

Term 2
Finish Experimental Investigation

Time Series Investigation

Term 3
Probability Distributions

Evaluate Statistical Reports

Term 4
Revision

Recommended Prior Learning


Must have at least 10 credits from Level Two Mathematics or Statistics and achieve the external.

Contributions and Equipment/Stationery

Students without access to a tablet or laptop may be disadvantaged when school devices are unavailable.

Credit Information

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

This course is eligible for subject endorsement.

This course is approved for University Entrance.

Total Credits Available: 20
Internal Assessed Credits: 12
External Assessed Credits: 8
Assessment
Description
Level
Internal or
External
Credits
L1 Literacy Credits
UE Literacy Credits
Numeracy Credits
A.S. 91580 v2
NZQA Info

Mathematics and Statistics 3.8 - Investigate time series data


Level: 3
Internal or External: Internal
Credits: 4
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. 91583 v2
NZQA Info

Mathematics and Statistics 3.11 - Conduct an experiment to investigate a situation using experimental design principles


Level: 3
Internal or External: Internal
Credits: 4
Level 1 Literacy Credits: 0
University Entrance Literacy Credits: 0 *
Numeracy Credits: Y
A.S. 91584 v2
NZQA Info

Mathematics and Statistics 3.12 - Evaluate statistically based reports


Level: 3
Internal or External: External
Credits: 4
Level 1 Literacy Credits: 0
University Entrance Literacy Credits: 4r,4w *
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
Credit Summary
Total Credits: 20
Total Level 1 Literacy Credits: 0
Total University Entrance Literacy Credits: 4
Total Numeracy Credits: 20

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.

Disclaimer

Courses outlined will only be available if sufficient students wish to take them AND appropriate staff are available to teach them.

Courses that do not run may be offered through distance learning and be supported by the Distance Learning Department.