Question 1

What is NCEA AS 91265 about?

Accepted Answer

This standard asks you to design and run a real experiment to answer a question about something, then use statistics to analyze what you find. You'll need to plan what you're measuring, collect the data yourself, make graphs and charts, and explain what your results mean and why they matter.

Question 2

What do students need to do for AS 91265?

Accepted Answer

1. Pose a clear investigative question about an experimental situation that you're actually going to test 2. Plan your experiment by identifying what variables you'll measure and how you'll measure them reliably 3. Decide on appropriate data collection and recording methods before you start collecting 4. Conduct the experiment, collect your data, and select appropriate statistical displays (graphs, tables, summary statistics) to show what you found 5. Write a conclusion that explains your findings and connects them back to your original question and the real-world context

Question 3

What's the difference between Achieved, Merit, and Excellence for AS 91265?

Accepted Answer

Achieved: You show you've done each step of the investigation process (asking a question, planning, collecting data, displaying results, and drawing conclusions). Merit: You link each step of your investigation to the real-world context and explain your choices—why you chose those variables, why that collection method, and what your evidence actually tells you about the situation. Excellence: You weave statistical knowledge and real-world understanding throughout the whole investigation, reflect on whether your process worked well, and consider how other variables or factors might affect your findings.

Question 4

What mistakes do students typically make in AS 91265?

Accepted Answer

1. Not posing a clear, testable investigative question at the start—your question needs to be about something you actually experiment on, not just observe 2. Failing to justify or explain your choices (why you picked those variables, why you collected data that way, why those displays are appropriate for your data) 3. Weak or missing conclusions that don't actually link the data back to the original question or explain what the results mean in real-world terms

Statistical experiment

Your assessment resources

Videos & study resources

More in this subject

Other Mathematics - Statistics standards · Level 2 · Year 12

Next year — Mathematics - Statistics Level 3 · Year 13

Foundations — Mathematics - Statistics Level 1 · Year 11

Related standards