The Investigating and Interpreting Data Presentation is an engaging and structured PowerPoint designed to introduce students to primary and secondary data collection. It explains key statistical concepts such as variation, outliers and trends while encouraging students to analyse real-world data and apply critical thinking to problem-solving scenarios. With interactive questions and real-life examples, this resource provides an excellent foundation for developing data literacy skills.
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 data sets and visual representations for younger students.
• Use sentence starters and guided discussion prompts to help students articulate their findings.
• Extend for older students by introducing comparative analysis of multiple data sets.
• Assign students a data investigation project where they collect and interpret their own primary data.
• Have students create their own "Did You Know?" fact sheets using secondary data.
• Encourage fast finishers to analyse outliers and hypothesise their causes.