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 (a range for one dimension, a minimum for another, a target area/volume/cost) rather than fixed dimensions, must invent specific numbers that satisfy every constraint simultaneously, state and justify the chosen dimensions, compute the resulting measurement (area, perimeter, volume, or cost) using a technique already built earlier in the series (rectangle area/perimeter, cuboid volume, Pythagoras' theorem), verify every constraint against an explicit checklist, and -- at the higher tiers -- reason about a genuine trade-off between competing constraints or compare two valid designs to justify which better meets a cost/material-minimisation goal. There is no single correct answer -- any dimension set that genuinely satisfies every stated constraint is an acceptable response.

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Learning objective overview

Master Teaching Guide coverage for this objective.

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.

Key skills

  • Invent specific dimensions that satisfy every stated constraint simultaneously
  • State chosen dimensions clearly and justify why they were picked
  • Compute the resulting measurement area perimeter or volume from chosen dimensions
  • Verify each constraint against the computed measurement with an explicit checklist
  • Reason about a genuine trade off between two or more competing constraints
  • Recognise that open ended problems have many valid answers not one correct answer
  • Compare two valid designs and justify which better meets an optimisation goal
  • Minimise cost or material while still satisfying every stated constraint
  • Apply a previously learned technique area perimeter volume pythagoras inside a new open ended framing
  • Communicate a written justification for a design choice referencing actual figures

Quick stats

  • 81 total questions
  • 3 difficulty levels
  • Answers included