Question 1

What is NCEA AS 91036 about?

Accepted Answer

You need to plan and carry out a statistics investigation using data with two numerical variables (like height and arm span, or study time and test scores). You'll work through the statistical enquiry cycle — asking a clear question, deciding what to measure, collecting and displaying your data, and then writing conclusions about what the data shows. The key is showing how your choices and findings connect back to the real-world situation you're investigating.

Question 2

What do students need to do for AS 91036?

Accepted Answer

1. Plan a clear investigation question about the relationship between two numerical variables (explaining which variable might influence the other) 2. Choose appropriate variables to measure and decide how to collect data fairly (thinking about what might affect your results) 3. Create and use appropriate graphs or displays (like scatter plots) to show patterns in your data 4. Use summary statistics and features of your graphs to describe the relationship you found between the two variables 5. Write a conclusion that connects your findings back to your original question and the real-world context

Question 3

What's the difference between Achieved, Merit, and Excellence for AS 91036?

Accepted Answer

Achieved: You work through each part of the statistical enquiry cycle, create appropriate displays, and write a conclusion about the relationship between your two variables. Merit: You justify your choices (like why you selected certain variables or how you managed variation) and support your findings by referring to specific statistics, data values, or features you can see in your graphs. Excellence: You show deeper statistical thinking by integrating both statistics knowledge and real-world context throughout your investigation, and you reflect on your process or consider alternative explanations for what the data shows.

Question 4

What mistakes do students typically make in AS 91036?

Accepted Answer

1. Not clearly explaining how the two variables are related or which variable might influence the other 2. Failing to justify decisions about variables, measures, or how sources of variation were managed 3. Writing a conclusion that doesn't connect findings back to the context or question being investigated

Bivariate data

Your assessment resources

More in this subject

Other Mathematics - Statistics standards · Level 1 · Year 11

Next year — Mathematics - Statistics Level 2 · Year 12

Videos & study resources

Related standards