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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 4

Data classification and visualisation
Classify data as either numerical (discrete or continuous) or categorical (nominal or ordinal) variables
  • Define a variable in the context of statistics as any characteristic, number or quantity that can be measured or counted

  • Classify and describe variables as numerical or categorical

  • Describe a numerical variable as either discrete or continuous

  • Describe a categorical variable as nominal or ordinal

  • Distinguish between and compare numerical (discrete or continuous) and categorical (nominal or ordinal) variables

Display data using graphical representations relevant to the purpose of the data
  • Represent single datasets using graphs, including frequency histograms and polygons, dot plots, stem-and-leaf plots, divided bar graphs, column graphs, line graphs, sector graphs and pictograms, with or without digital tools

  • Include sources, titles, labels and scales when displaying data in a graph

  • Select the type of graph best suited to represent various single datasets and justify the choice of graph

  • Represent a dataset using a statistical infographic and justify the choice of graphical representation used

Interpret data in graphical representations
  • Identify and interpret data displayed on graphs

  • Identify features of graphical representations to draw conclusions

  • Interpret patterns in graphical representations to make predictions

  • Explain why a given graphical representation can lead to a misinterpretation of data

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