## Select your desired level or achievement standard to view details of the standard, FAQ, activities, resources and links to further your knowledge. This section of the site will be updated regularly as more resources, FAQ and final Achievement Standards are accessed. You may also print the entire list of resources, or print individual pages of the site.

## › Important background information for teaching statistics

- NZ Statistics Curriculum
- Specifically Statistics – Maximising the benefits of statistical learning in schools (NZSA)
- Statistics: What has changed? (
*tki*) - Key Ideas in Statistical Literacy
- Key Ideas in Statistical Investigations
- Key Ideas in Probability
- Achievement Objectives from the Senior Secondary Guides (
*tki*) - Glossary of Statistics terms
__(__*tki*) - National Moderator’s Newsletters
__(__*tki*) - GAISE Schools Report (
*American Statistical Association, 5 Mb*) - List of American Resources (
*American Statistical Association*) - Reconnecting data and chance
- American Sources (from the ASA)
- Statistical Literacy and Scientific Investigation

## › Strategies for teaching statistics

- iNZight for beginners: Year 9 – 13
- Going paperless: Google docs and more for Level 3 Internal Standards
- Technology for teaching
- Improving PPDAC written responses: Years 9-13
- Writing statistical reports for Level 3 and before
- OSEM: A writing framework for Maths and Stats
- Writing techniques for report writing (2014)
- Issues in Level 3 NCEA Statistics Internal Assessment

## › 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 National Standards (for students aged 6 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.

NZCurriculum |
Year at School |
Age (Approx) |
National Standards |
NCEA Ach. Stds |

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 | NCEA Level 1 | |

Level 7 | 12 | 16-17 yrs | NCEA Level 2 | |

Level 8 | 13 | 17-18 yrs | NCEA Level 3 |

## NZC Levels 1-5

## NZC Level 6, NCEA Level 1

- 1.10 Investigate a given multivariate data set using the statistical enquiry cycle (91035)
- 1.11 Investigate bivariate numerical data using the statistical enquiry cycle (91036)
- 1.12 Demonstrate understanding of chance and data (91037)
- 1.13 Investigate a situation involving elements of chance (91038)

## NZC Level 7, NCEA Level 2

- 2.8 Design a questionnaire (91263)
- 2.9 Use statistical methods to make an inference (91264)
- 2.10 Conduct an experiment to investigate a situation using statistical methods (91265)
- 2.11 Evaluate a statistically based report (91266)
- 2.12 Apply probability methods in solving problems (91267)
- 2.13 Investigate a situation involving elements of chance using a simulation (91268)

## NZC Level 8, NCEA Level 3

- 3.8 Investigate time series data (91580)
- 3.9 Investigate bivariate measurement data (91581)
- 3.10 Use statistical methods to make a formal inference (91582)
- 3.11 Conduct an experiment to investigate a situation using experimental design principles (91583)
- 3.12 Evaluate statistically based reports (91584)
- 3.13 Apply probability concepts in solving problems (91585)
- 3.14 Apply probability distributions in solving problems (91586)
- Scholarship (93201)

## Note

*The Department of Statistics, The University of Auckland, 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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