Interpreting and representing data description
This sub-element describes how a student becomes increasingly able to recognise and use visual and numerical displays to describe data associated with statistical investigations, and to critically evaluate investigations by others. Making sense of data draws on knowing the concepts and tools that are being used to describe the global features of data. A student understands how these concepts and tools make meaning of data in context, and develops the ability to think critically about any claims, either questioning or confirming them.
Arguments presented in the media often need to be considered in terms of the supporting data.
Some students will communicate using augmentative and alternative communication strategies to demonstrate their numeracy skills. This may include digital technologies, sign language, braille, real objects, photographs and pictographs.
Each sub-element level has been identified by upper-case initials of the sub-element name followed by ascending numbers. The abbreviation for this sub-element is IRD. The listing of indicators within each level is non-hierarchical. Subheadings have been included to group related indicators. Where appropriate, examples have been provided in brackets following an indicator.
One-to-one data displays
- displays information using real objects or photographs
- responds to questions about the information in one-to-one data displays
- interprets general observations made about data represented in one-to-one data displays
- makes comparisons from categorical data displays using relative heights from a common baseline
- draws reasonable conclusions from one-to-one data displays
Collecting and displaying data
- justifies data collection methods to fit the context
- interprets and uses structural elements in data displays (labels, symbols)
Interpreting data scales
Graphical representations of data
- uses graphical representations relevant to the purpose of the collection of the data
- uses features of graphical representations to make predictions
- recognises that continuous variables depicting growth or change often vary over time (growth charts, temperature charts)
- interprets graphs depicting motion such as distance–time graphs
- interprets and describes patterns in graphical representations in real-life situations (roller-coasters, flight trajectory)
- interprets the impact of outliers in data
- determines whether to use data from a sample or a population
- determines what type of sample to use from a population
- makes reasonable statements about a population based on evidence from samples
- applies an understanding of distributions to evaluate claims based on data (the
larger the sample taken, the more accurate the prediction of the population value is likely to be)
- recognises and explains bias as a possible source of error in media reports of survey data
- justifies criticisms of data sources that include biased statistical elements (inappropriate sampling from populations)