interpret and compare data sets for ordinal and nominal categorical, discrete and continuous numerical variables using comparative displays or visualisations and digital tools; compare distributions in terms of mode, range and shape

How Bloomi helps with this

This is a readiness-year topic that builds towards the next NAPLAN year. Bloomi practises it as curriculum mastery, never test drilling.

What this looks like in the classroom

• determining the range for a numerical data set by finding the difference between the highest and the lowest value in the set and comparing the range for different data sets
• representing acquired numerical data sets using side-by-side column graphs, comparing the spread of each data set using the range, the highest frequency for each data set using the mode, and discussing the shape
• representing ordinal data collected through surveys, using visualisation tools including dot plots and bar charts, and discussing the distribution of data in terms of shape