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In plain EnglishAI study guide · check the NZQA standard
You'll be investigating the relationship between two measurement variables (like height and weight, or study time and exam marks). You need to follow the statistical enquiry cycle: pose a question, collect or use existing data, display it, find patterns, fit a model if appropriate, and write up your conclusions with evidence backing every claim you make.
What to do, grades and common mistakes
What you actually do
- ·Pose a clear relationship question using a bivariate data set (a question about how two variables might connect)
- ·Select and create appropriate displays of the data (scatter plots, graphs, tables) that help you see the relationship
- ·Identify features in the data (clusters, outliers, trends, patterns) and describe what they show
- ·Find and fit an appropriate model for the relationship (such as a linear regression line, if linear suits the data)
- ·Describe the nature and strength of the relationship, relate it back to your context, and use the model to make a prediction
AAchieved
You investigate the bivariate data by following the enquiry cycle, creating displays, identifying features, fitting a model, and writing conclusions.
MMerit
You link each step of your investigation to the real-world context and support every statement with specific statistics, data values, trends, or features from your displays.