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Home > Topdrawer > Statistics > Good teaching > Making informal inferences > Single measurement variables

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Single measurement variables

Single measurement variables

Students can collect measurement data and make informal inferences.

Students can measure and represent data collected about themselves.

They can then be asked to speculate about whether these measurements would represent a larger population (such as all students in their year across Australia) leading to an informal inference.

This relies on careful definitions of the sample and population, appreciating the most appropriate graphical representation, and knowing which measures of centre and spread will summarise the sample data.

Using this evidence to make an informal inference, students must realise that their conclusion cannot be made with absolute certainty because of the gap between their sample and the population.

Students might collect data on

Yes

Yes

Name Class Section
Document Balancing act 1 Folder 17
Document Signature length 1 Folder 17
Document Paperclips Folder 17
Document Year 8: Explore the practicalities and implications of obtaining data through sampling using a variety of investigative processes Infobox 3
Document Year 9: Compare data displays using mean, median and range to describe and interpret numerical data sets in terms of location (centre) and spread Infobox 3
Document Year 10: Construct and interpret box plots and use them to compare data sets Infobox 3
Document Source Infobox 3