Level 3 Statistics
Course Description
Teacher in Charge: Mr G. Atkinson
The Year 13 Statistics course covers Levels 8 of Mathematics in the New Zealand curriculum document.
Students will continue to develop their understanding of Probability and Probability distributions while also analyse different types of data from a range of situations, including bi-variate and time-series.
Students will also learn how to use linear programming to find the optimal solution to a problem.
As a Year 13 student you will be studying towards NCEA Level 3. Statistics is an approved subject for University Entrance.
Students who are intending to sit the Statistics Scholarship examination are expected to take this course.
The standards offered in this course may be altered at the discretion of the Head of Department.
Recommended Prior Learning
From 12MATS – At least 14 credits including at least one of AS 2.9(AS91264) Inference or AS 2.12 (AS 91267) Probability and at least one another external standard.
From 12STPR – At least 14 credits including AS2.3, AS 2.9 (AS 91264) and AS 2.12 (AS 91267) or HOD approval.
(based on Entrance Exams and Internal Assessment results)
Credit Information
Total Credits Available: 19 credits.
Externally Assessed Credits: 8 credits.
Internally Assessed Credits: 11 credits.
External
NZQA Info
NZQA Info
NZQA Info
NZQA Info
NZQA Info
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.
Disclaimer
Courses will only run based on minimum entries
Selecting a course does not guarantee entry into this course
You may apply for an exemption if you do not meet the prerequisites of a course or if the course requires this for entry
Standards offered can be altered at the discretion of the HOF or HOD of the Department
Some standards in NCEA courses might be optional depending on student strengths
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