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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 analysis
Calculate and compare the mean, median, mode and range for simple datasets
  • Calculate and describe the mean, median, mode and range of a dataset

  • Classify the mean, median and/or mode as measure(s) of centre to represent the average or typical value of a dataset

  • Describe and interpret data displays using mean, median and range

  • Identify and describe datasets as having no modes (uniform), one mode (unimodal), 2 modes (bimodal) or multiple modes (multimodal)

  • Identify the range as a measure of spread to describe variation in a dataset

  • Compare simple datasets using the mean, median, mode and range

Interpret the effect individual data points have on measures of centre and range
  • Informally identify clusters, gaps and outliers in datasets and give reasons for their occurrence in the context of the data

  • Identify and explain the impact of adding or removing data values that are clustered at one end of a dataset on the measures of centre

  • Identify and explain the impact of outliers on the measures of centre and range

  • Determine and justify the most appropriate measure of centre to summarise the data in its context

Analyse datasets presented in various ways and draw conclusions
  • Identify and describe the shape and distribution of a dataset using the terms symmetrical, negatively skewed and positively skewed

  • Define a census as a study of every unit, everyone or everything in a population

  • Define a sample as a subset of units in a population selected to represent all units in a population of interest

  • Draw conclusions and make informed decisions about data gathered using data-collection techniques, including census and sampling, which is then presented in tables, graphs and charts

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