Workshop Plans
Developed by Pip Arnold, these new, ready-to-use workshop plans are designed for teachers to facilitate internal PLD sessions during staff or syndicate meetings.
- Using CensusAtSchool datacards – Years 1–6
- Working with CensusAtSchool data – Years 7–8
- Using CODAP to develop statistical concepts – median and box plots – Years 7–10
Content and Context
- NZ Statistics Curriculum | What changed with the 2007 Curriculum? (tki)
- Key Ideas
- Achievement Objectives from the Senior Secondary Guides (tki)
- Index to all NCEA Achievement Standards in Maths and Stats
- Glossary of Statistics terms (tki)
- “Data to Insight: A first course in statistical data analysis” (Content knowledge: Chris Wild’s free online course)
- National Moderator’s Newsletters (tki)
- Analysing NCEA statistics (Louise Addison)
- Statistical Literacy and Scientific Investigation (Australia)
- The joy of data analysis and critical thinking (Rhys Jones, Wales)
NZ Statistical Association (NZSA) Curricular and Assessment Statements
American Statistical Association (ASA)
Strategies and Pedagogy
- SET Statistical Education of Teachers (USA, Statistics teacher)
- Sets of exercises for learning to use iNZight, iNZightLite, VIT, and VITonline
- iNZight for beginners: Year 9 – 13 (Ricky Pedersen)
- Basic introduction to iNZight (Michelle Delrymple)
- Engaging students in Statistics 2016 Panel discussion
- Supporting teachers new to teaching Statistics 2016 Panel discussion
- Statistics is my favorite subject (Michelle Dalrymple & Grant Ritchie, NZAMT13)
- Going paperless: Google docs and more for Level 3 Internal Standards
- Technology for teaching (Polly Stuart)
- Let them write their own textbook (Lars Thomsen)
- Improving PPDAC written responses: Years 9-13
- Writing statistical reports for Level 3 and before
- OSEM: A writing framework for Maths and Stats
- Developing students’ statistical insight in Years 9 to 13 (Dalrymple, Dillon & Franklin)
- Writing techniques for report writing (2014)
- Working collaboratively & leading statistical discussions (Dalrymple & Dillon)
- “Teaching Statistics Through Data Investigations” and “Teaching Statistics Through Inferential Reasoning” (Pedagogy: free online courses from the US)
- Issues in Level 3 NCEA Statistics Internal Assessment
- Grappling with Authenticity (Steel)
- Discussion and interaction in Statistics classes
- American Resources (ASA)
- Reconnecting data and chance
Enrichment and Promotional
- Covid-19 links (NZSA Education Committee)
- Teaching statistics is awesome
- Stats + Stories (Videos, spons. Amer. Statist. Assoc.)
- Risky Talk (podcast series on communicating risks and evidence in which Sir David Spiegelhalter talks to the world’s top experts “about urgent, practical challenges which affect us all”)
- What is Statistics? (Amer. Statist. Assoc.)
- What’s Going On in This Graph? (New York Times and Amer. Statist. Assoc.) (see intro)
which in turn has inspired Tuva Data Stories (see intro) - Can We Trust The Numbers? (TED Radio Hour) 5 excellent talks. More … »
The New Zealand Schooling System
The New Zealand Mathematics and Statistics Curriculum is divided into 8 levels of learning. Below is a summary of the NZC levels and associated Learning Progression Framework (for students aged 5 to 13) and NCEA levels (NZ national assessment) if applicable. There is a degree of flexibility within these guidelines for students to learn subject content earlier or later than the guidelines. New Zealand students typically start school at 5 years of age.
| NZ Curriculum | Year at School | Age (Approx) | Learning Progression | NCEA |
| Level 1 | 1-2 | 5-7 yrs | After 1 yr, After 2 yrs | |
| Level 2 | 3-4 | 7-9 yrs | After 3 yrs, After 4 yrs | |
| Level 3 | 5-6 | 9-11 yrs | After 5 yrs, After 6 yrs | |
| Level 4 | 7-8 | 11-13 yrs | After 7 yrs, After 8 yrs | |
| Level 5 | 9-10 | 13-15 yrs | ||
| Level 6 | 11 | 15-16 yrs | Level 1 | |
| Level 7 | 12 | 16-17 yrs | Level 2 | |
| Level 8 | 13 | 17-18 yrs | Level 3 |
Learning Progression Frameworks
The University of Auckland’s Department of Statistics recommends AS3.10 Use Statistical Methods to make a Formal Inference, AS3.9 Investigate Bivariate Measurement Data, and AS3.13 Apply Probability Concepts in Solving Problems as a statistics core course for the approved subject Statistics or for a Mathematics course for students hoping to proceed to study Statistics at University.
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