Getting Started

• (See also intro videos from the and the Statistics Teachers Day)
• and

Exercises

Videos

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It was wonderful seeing so many teachers at last year’s Statistics Teachers’ Day in Auckland. Planning is already underway for this year’s event!

Later this year, we’ll let you know the overarching theme and put out a call for workshops and talks.

In the meantime, save the date:

Statistics Teachers’ Day 2026
Friday November 27

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Note: This information is being updated.

Years 1鈥�10

Years 11鈥�13 (Current 2007 version; curriculum being updated)

• : , , , , , , , , , ,
• For Year 13 students intending to study Statistics at the tertiary level: the Department of Statistics at the University of Auckland strongly recommends AS3.9 (Investigate Bivariate Measurement 91茄子), AS3.10 (Use Statistical Methods to make a Formal Inference), and AS3.13 (Apply Probability Concepts in Solving Problems)
• NZSA Statements and Resources

Historical Record

• 2007 NZ Statistics Curriculum
  • Key Ideas: Statistical Literacy, Statistical Investigations,听Probability

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Statistics Teachers鈥� Day takes place at Auckland University, where stats education researchers, PhD students, and practising statisticians share what they are discovering in data. Teachers also share their classroom practice and resource development, modelling excellent teaching and learning with and about data on the day.

Resources

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The following interrogative questions provide a good starting point to understand the data, what was collected, how it was collected and who it was collected from (Arnold, 2022, p. 90).

Overall for the dataset:

1. Was the data collected using an observational study or an experiment (from year 9)? (1. Method)
2. Who was the data collected from? (2. 鈥淲ho鈥�)
3. Who collected the data? (1. Method)
4. When was the data collected? (1. Method)聽
5. Where was the data collected? (1. Method)
6. What was the purpose for collecting the data? (Initial investigator鈥檚 problem/purpose)

Specific to the variable (3. What and how):

1. State the variable.
2. What was the data collection or survey question asked to collect the data?聽
3. How was the variable measured?
4. What are the units, if any, for the variable?
5. What are the possible outcomes for the variable?
6. What type of data is it? Categorical or numerical?

Arnold, P. (2022). Statistical Investigations | Te T奴huratanga Tauanga. NZCER Press.聽

The at North Carolina State University have created this that provides an expanded set of interrogative questions when using data from other sources.

In our modern society, data is generated all the time and in various ways. Sometimes we create our own data from experiments, surveys, etc. More often, we use data generated from other sources, available online. At this time, data is even generated automatically, as in click-log data and other metadata, collected as we go about our daily lives. But all data has context. To gain a deeper understanding of data from other sources, you must examine the context. The questions below provide guidance to make sense of a dataset. You do not need to answer each of these questions. They are intended to guide you in developing a data interrogation mindset, wherein a good understanding of data and its sources will inform your analysis and claims made with the data.

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