The Data Set Cards resource provides students with real-world and relatable data sets that encourage critical thinking and analysis. Covering topics such as sports participation, rainfall measurements, water usage and video game hours played worldwide, this resource helps students practise data collection, organisation and interpretation. It includes a Data Set Recording Sheet, guiding students through key questions to analyse trends, variations and outliers in data.
Interpret and compare data sets for ordinal and nominal categorical, discrete and continuous numerical variables using comparative displays or visualisations and digital tools; compare distributions in terms of mode, range and shape
Identify statistically informed arguments presented in traditional and digital media; discuss and critique methods, data representations and conclusions
Plan and conduct statistical investigations by posing and refining questions or identifying a problem and collecting relevant data; analyse and interpret the data and communicate findings within the context of the investigation
Interpret and compare a range of data displays, including side-by-side column graphs for two categorical variables
Interpret secondary data presented in digital media and elsewhere
Construct, interpret and compare a range of data displays, including side-by-side column graphs for two categorical variables
Pose and refine questions to collect categorical or numerical data by observation or survey
Interpret secondary data presented in digital media and elsewhere
Describes and represents mathematical situations in a variety of ways using mathematical terminology and some conventions
Gives a valid reason for supporting one possible solution over another
Uses appropriate methods to collect data and constructs, interprets and evaluates data displays, including dot plots, line graphs and two-way tables
Constructs graphs using many-to-one scales
Interprets data displays, including timelines and line graphs
• Provide simpler, scaffolded questions for younger students.
• Allow digital graphing tools for students who prefer technology-based data visualisation.
• Offer additional support by modelling how to analyse different data set formats.
• Students can collect their own primary data and compare it to the provided secondary data sets.
• Encourage students to represent data in different formats, such as bar graphs, pie charts and line graphs.
• Challenge fast finishers to identify patterns and outliers and hypothesise reasons behind them.