Strong fit
Phase 2 Statistics: data visualisations represent the values of a
variable, show frequency, and reveal patterns, trends, and variation. A good visualisation includes
a title, variable labels, the group the data is from, and a scale starting at 0 where appropriate.
How this handout aligns
The worksheet explicitly asks students to move from a frequency table to a bar graph, then name
the title, categories, and scale. That keeps the mathematics on the features that make a bar
graph trustworthy rather than decorative.
MATHEMATICS-b74950050f
Statistics
Frequency
Best fit for Te Mātaiaho Phase 2 statistics knowledge about data
visualisations and scale.
Strong fit
Phase 2 Statistics: interpreting a data visualisation includes
describing its variables, units or categories, context, and key features such as the spread or main
pattern.
How this handout aligns
The analysis prompts require ākonga to read the completed graph, compare categories, and pose a
useful next question. That shifts the task from graph construction alone to interpretation in
context.
MATHEMATICS-89be98608e
Interpretation
Context
Useful for follow-up discussion or written explanation after students draw
the bars accurately.
Phase 3 bridge
Phase 3 Statistics practices include choosing and constructing an
appropriate data visualisation for a given data set.
How to extend the resource
Once students are secure with the bar graph itself, ask whether the same dataset could be shown
differently and why the bar graph remains the strongest choice here. That turns the page into a
bridge toward graph selection work.
MATHEMATICS-708631d491
Graph choice
Extension
Use as an extension rather than the first teaching focus.