Rice Crisp Machine

Students discover how to construct and interpret boxplots. This series has the same format as Matchbox machine, however uses a different context and a smaller range of numbers.

Teacher notes

• Introduces the quality assurance process through the example of sampling rice crisp packets. Students use boxplots to identify if the process is working correctly.
• Data is displayed in a dynamic, sortable table. Students use the sorted table to work out the five-point summary required for constructing a boxplot: maximum, minimum, first and third quartiles and median.
• Students build than interpret their boxplot according to tolerance levels in the quality control manual.
• Random generation of values for variables supports repeated use.

Learning objects

	Rice crisp machine: take a sample Students build a single boxplot and answer a quiz to show understanding.
	Rice crisp machine: plot the variation After building a boxplot, students then take a further nine samples and build boxplots for these. Students answer an additional short quiz.
	Rice crisp machine This is an aggregated learning unit combining 'Rice crisp machine: take a sample' and 'Rice crisp machine: plot the variation'.