Please note: This site contains links to websites not controlled by the Australian Government or ESA. Read more in the Terms of Use.
reSolve: Statistics – student profiling
In this sequence of two lessons, students critically assess the Census@School 2014 Questionnaire and make decisions on how they would analyse the data given the types of questions and responses. They describe the life of a single participant using their survey data and use a range of statistical tools to compare their participant to a larger sample. They use technology such as Excel or TinkerPlots to analyse a large dataset. Each lesson is outlined in detail including curriculum links, vocabulary, materials needed, discussion points, internet resources and spreadsheets of Census@School data. This sequence is part of the reSolve: Mathematics by Inquiry program.
- Resource details
- Year level
- Year 10
- Purpose
- Teaching resource
- Strand
- Statistics
- Topic
- Data representation and interpretation
- Audience
- Teachers
- Format
- Downloadable resource
- Australian Curriculum code
- AC9M10ST02 AC9M10ST03
- Numeracy progression
- Interpreting and representing data (P8)
- Publisher
- reSolve Maths by Inquiry
- Copyright
- © Australian Government Department of Education, Skills and Employment 2021. Creative Commons BY-NC-SA 4.0.
- Keywords
- boxplot scatter plot histogram census dot plot
Related resources
-
Statistical analysis: Year 10 – planning tool
This planning resource for Year 10 is for the topic of Statistical analysis.
Resource details -
Interpret and discuss data displays: Year 10 – planning tool
This planning resource for Year 10 is for the topic of Interpret and discuss data displays.
Resource details -
reSolve: Algorithmic thinking – simulation
This is a series of inquiry-based lessons about using simulations as a method of modelling real-world mathematical problems.
Resource details -
Off the scale
This lesson introduces students to the idea of a log scale, a seemingly perplexing way to present data. The lesson begins with an exploration of examples when a linear scale is inappropriate and concludes with a plotting activity using authentic data from the COVID-19 pandemic.
Resource details -
reSolve: Algorithmic thinking – data visualisation
This is a series of inquiry-based lessons about inferring relationships from large sets of data and algorithmic thinking.
Resource details -
Educational Datasets
These teacher guides describe the datasets for teachers and provide a range of lesson activities for students in Years 3 to 10. Datasets are grouped according to where the data's context fits into learning areas of the Australian Curriculum.
Resource details