Measurement applications: design and justify

Solve open-ended measurement design problems -- a garden bed, a backyard deck around a fixed hot-tub footprint, a rectangular water tank, a wheelchair ramp, a triangular land parcel, and a lean-to carport roof -- where the student is given CONSTRAINTS rather than fixed dimensions, must invent specific numbers that satisfy every constraint simultaneously, state and justify the chosen dimensions, compute the resulting measurement using a technique already built earlier in the series, verify every constraint against an explicit checklist, and -- at the higher tiers -- reason about a genuine trade-off or compare two valid designs to justify which better meets a cost-minimisation goal. There is no single correct answer -- any dimension set that genuinely satisfies every stated constraint is acceptable.

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Te reo Māori terms

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Learning objective overview

Master Teaching Guide coverage for this objective.

Current NZC (2007)
  • GM5-1
  • NA6-4
New NZC (2026)
  • NZC26-P4-MEA-MEA-P-Y10-07

Resources

  • CorbettMaths on Area and Perimeter (foundation techniques reused here)Questions PDF · Answers
  • Beta: NZQA-style trial paper: constraint-based design tasks (e.g. skate-park/obstacle design)
  • Beta: Various open-ended measurement investigation tasks (design-and-justify framing)

Terminology

  • Constraint
  • Design
  • Trade-off
  • Valid design
  • Justification
  • Optimisation
  • Checklist

Task goals

  • Given a set of measurement constraints (a range for one dimension, a minimum for another, a target area/volume/cost), invent specific dimensions that satisfy every constraint simultaneously.
  • State the chosen dimensions clearly, including a brief justification for why those particular numbers were picked.
  • Compute the resulting area, perimeter, volume, or cost from the chosen dimensions -- reusing a technique already learned earlier in the series (rectangle area/perimeter, cuboid volume, Pythagoras' theorem).
  • Verify, with an explicit checklist, that every stated constraint is genuinely satisfied by the chosen design.
  • Recognise and reason about a genuine trade-off between two or more competing constraints, rather than picking arbitrary compliant numbers.
  • Understand that an open-ended design problem has many valid answers, not one single correct answer, and that a response should be marked on its own internal consistency rather than compared against a model answer.
  • Compare two different valid designs against an optimisation goal (minimise cost or material, or a stated preference) and justify which is the better choice.
  • Communicate a written justification for a design decision that references the actual computed figures, not just intuition.

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