Data Set Cards
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.
Learning goals
- We are learning to interpret and compare the four types of data sets (ordinal, nominal, discrete, continuous) using comparative displays and determining the range, mode (frequency) and shape of data in graphs, dot plots and bar charts.
- We are learning to interpret secondary data (data collected by others) represented in digital media, books, scientific papers etc. and identify potentially misleading data representations.
- We are learning to pose questions, collect and interpret categorical or numerical data by observation or survey.
- We are learning to interpret and compare data displays, including side-by-side column graphs, tables and diagrams for two categories (e.g. age, height) and compare the usefulness of each display for data interpretation.
- We are learning to interpret secondary data (data collected by others) represented in digital media, books, scientific papers etc. and identify potentially misleading data representations.
Curriculum alignment
Australian Curriculum covers QLD / SA / WA / NT / TAS / ACT.
Differentiation
Modifications
• 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.
Extensions
• 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.