represent collected data for a categorical variable using one-to-one displays and digital tools where appropriate; compare the data using frequencies and discuss the findings

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

• creating a pictograph with objects or drawings; discussing the possible categories for the pictograph, arranging the objects or drawings into the categories, then reflecting on the chosen categories and deciding whether they were helpful
• translating data from a list or pictorial display into a tally chart to make counting easier; describing what the tally chart is showing, by referring to the categories; using skip counting by fives to compare the numbers within each category and explaining how the tally chart answers the question
• recognising that when there is no data for a particular category you may choose whether or not to include it in your data display, and use a zero or blank for that category depending on the purpose of the data collection or presentation; for example, creating a birthday calendar for the class and discussing that there are no students born in May and therefore there are no names listed