K–10Mathematics K–10 Syllabus
Mathematics for K−2
The new syllabus must now be taught in Kindergarten to Year 2 in all NSW primary schools.
Mathematics for 3−10
The new syllabus is to be taught in Years 3 to 10 from 2024.
2023 Plan and prepare to teach the new syllabus
2024 Start teaching the new syllabus
School sectors are responsible for implementing syllabuses and are best placed to provide schools with specific guidance and information on implementation given their understanding of their individual circumstances.
Content
Stage 4
- MAO-WM-01
develops understanding and fluency in mathematics through exploring and connecting mathematical concepts, choosing and applying mathematical techniques to solve problems, and communicating their thinking and reasoning coherently and clearly
- MA4-DAT-C-01
classifies and displays data using a variety of graphical representations
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
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
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