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NSW Curriculum
NSW Education Standards Authority

K–10Mathematics K–10 Syllabus

Record of changes
Implementation for K–2 from 2023 and 3–10 from 2024
Expand for detailed implementation advice

Content

Stage 5

Data analysis B
Identify and describe numerical datasets involving 2 variables
  • Distinguish between situations involving 1-variable and 2-variable (bivariate) data and explain when each is needed

  • Explain the difference between variables that have an association and variables that have a causal relationship

  • Identify and describe the independent variable and dependent variable in relationships with possible cause and effect

Represent datasets involving 2 numerical variables, using a scatter plot and a line of best fit, by eye
  • Gather data on a topic of interest involving 2 numerical variables

  • Represent the data using a scatter plot

  • Create a line of best fit, by eye, on an existing scatter plot

Interpret data involving 2 numerical variables, using graphical representations
  • Describe informally the association between 2 numerical variables and apply terminology about form (linear), strength (strong, moderate or weak) and direction (positive or negative)

  • Use the line of best fit, by eye, to make predictions between known data values (interpolation) and what might happen beyond known data values (extrapolation)

  • Explain the limitations of the model when making predictions

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