TATAURANGA | STATISTICS

Google Classroom code: n6vqhynx

Course aims / learning outcomes

This course has two main parts:

Using the Statistical Enquiry Cycle to investigate various types of relationships in datasets.

• Raraunga tau Matarua | Bivariate Data
• Hīkaro | Statistical inference
• Raraunga Houanga | Time Series

Solving problems by calculating theoretical probabilities and using probability models.

• Tūponotanga | Probability Concepts
• Tūponotanga Tuari | Probability Distribution

Assessment statement

• There are 20 credits on offer in the course.
• It is University Entrance approved and also may be combined with some Calculus standards to create a Mathematics approved subject.
• 12 of the credits come from Internal assessments.
• 8 credits come from external exams.

Authenticity

• Internal assessments must be developed within the shared Google Doc during scheduled class sessions to provide a clear record of the writing process. While the primary work must be your own, any limited use of generative AI or paraphrasing tools must be disclosed, justified, and documented. Submitting AI-generated content as your own work, or without providing the required justification and audit trail, is not permitted.
• To try and manage authenticity and fairness, how the internal assessments will run may be altered this year.

Appeal Procedures

• Students have the right to appeal the mark they have been awarded. If a student wishes to appeal a grade, they should initially talk to the subject learning advisor about the marking process immediately after the marked assessment task is shown to them. If still dissatisfied the student should make an appointment and discuss grades with the Principal’s Nominee who will check that the correct procedures have been followed as outlined in the school and subject policies taking into account any special circumstances.

Assessment Integrity Agreement Used in Internal Assessments

I confirm that this assessment represents my own original thinking and effort. I have not used AI-generated content as a substitute for my own work. If I have utilised Large Language Models (AI) for specific assistance, I have:
 

• Explicitly cited the model and version used.
• Provided the relevant interaction/transcript in an appendix at the end of this document.
• Included a brief justification explaining why the use of AI was appropriate for this specific task and how I verified the accuracy of the output.

I understand that any undisclosed or unjustified AI use may be treated as a breach of academic integrity.

[AI Disclosure: This text was refined using Gemini (Google) on March 4, 2026, to improve the clarity of the Academic Integrity statement.]

Table of Assessments