We present initial data from a collaboration between researchers in the UK and in Israel. We aimed to explore how young students (11-14 years of age) expressed uncertainty in partiallydetermined situations, where a signal might account for some, or even a substantial amount of, variation but additionally there is a need to account for noise in the system. The two teams collaborated to develop a task that drew on previous experience with Active Graphing and EDA. As well as collecting data through an experiment, the young students used the modelling functionality in TinkerPlots2 to create models (or ‘machines’) that generated similar data to that in the experiment. In the presentation, we describe the various ways in which the young students accounted for and expressed uncertainty verbally and through actions in TinkerPlots2.
The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education