Question 1

What is NCEA AS 91580 about?

Accepted Answer

In this standard, you investigate a time series dataset (data that changes over time, like monthly rainfall or annual house prices). You'll follow the statistical enquiry cycle: pick a variable, display the data, spot patterns, fit a model to describe it, forecast future values, and explain your findings using statistics and context.

Question 2

What do students need to do for AS 91580?

Accepted Answer

1. Use an existing time series dataset and select a variable you want to investigate 2. Create appropriate graphs or visual displays to show how the data changes over time 3. Identify features in the data—such as trends, seasonal patterns, or unusual points—and explain what they mean in the real-world context 4. Fit a suitable model (like an additive model with trend and seasonal components) to the data 5. Use your model to make a forecast and write a conclusion that communicates your findings and evaluates your process

Question 3

What's the difference between Achieved, Merit, and Excellence for AS 91580?

Accepted Answer

Achieved: You follow all steps of the statistical enquiry cycle on your chosen time series, identify some key features, fit a model, and write a conclusion. Merit: You link each step of the cycle to your data context, use statistics and specific data values to support your statements about trends and patterns, and show that your model choices make sense. Excellence: You weave statistical and contextual knowledge throughout, reflect on your method, consider other variables that might matter, evaluate whether your model is good enough, and show deeper understanding of how the model works and its limitations.

Question 4

What mistakes do students typically make in AS 91580?

Accepted Answer

1. Not showing enough working or explanation of how the model was created or why it was appropriate for the data 2. Making vague statements about trends or patterns without backing them up with actual numbers, statistics, or specific data values from graphs 3. Failing to evaluate the entire statistical enquiry cycle or only checking parts of it (e.g., fitting a model but not discussing whether it's fit for purpose)

Time series · AS 91580

15,250 students sat this in 2024 · 87% passed

Documents (7)

The standard itself

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