Strong fit
Phase 4 Statistics practices include critically considering data
visualisations, including those from contemporary media, to see if they support or misrepresent the
data.
How this handout aligns
The worksheet makes students test a media-style graph against the actual numbers, identify the
distortion, and explain why the impression is stronger than the data warrants. That is a direct
fit for the curriculum practice.
MATHEMATICS-669bc165cc
Contemporary media
Misrepresentation
This is the clearest primary row for the resource.
Strong fit
Phase 4 Statistics practices include creating multiple data
visualisations for an investigation and selecting appropriate scales for data.
How this handout aligns
The redraw task does more than complain about the first graph. It asks ākonga to make a fairer
version, which brings scale choice and more defensible design decisions into view.
MATHEMATICS-a2689f82f9
Appropriate scale
Redesign
Use this as the design-action follow-up row after critique.
Phase 2-3 bridge
Earlier statistics work already expects students to name the variables,
group, and key features of a visualisation. That interpretation foundation is what makes later
critique possible.
Bridge note for kaiako
If your class is new to critique, start by naming what a graph is actually showing before asking
whether it is fair. Many weak “critical” responses are really interpretation gaps in disguise.
Interpretation first
Then critique
Treat interpretation vocabulary as a prerequisite, not an optional extra.