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.
- 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.
Rice crisp machine: take a sample
Rice crisp machine: plot the variation
Rice crisp machine