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Resources for teaching statistics (Last updated 15/11/21)

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Overview

› Content and context


NZ Statistical Association (NZSA) Statements

American Statistical Association (ASA)

 


› Enrichment and promotional


› About 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

Levels 1-5 Teaching Resources for the 2018 NZ Census

Learning Progression Frameworks

Resources by Level

In relationship to the review of achievement standards (RAS) and reflecting that CensusAtSchool is a curriculum-based resource, we have reviewed the structure of the resources section for curriculum levels 6-8. With a view to the future, we are moving away from the resources being structured by achievement standard to being structured by statistics and probability big ideas. The structure will be consistent across levels 6-8 and reflect the big ideas of statistical investigations and probability.

Most of the statistics achievement standards are based on a specific type of investigation, so as long as you remember the type of investigation you will be able to find your favourite resources associated with particular achievement standards.  For example:
  • Investigate a given multivariate data set using the statistical enquiry cycle (1.10) involves a comparison investigation, so would now be found under comparisons, as would use statistical methods to make an inference (2.9) and use statistical methods to make a formal inference (3.10).
  • Conduct an experiment to investigate a situation using statistical methods (2.10) involves experiments so would be under experiments, as would conduct an experiment to investigate a situation using experimental design principles (3.11).

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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