Criterion — Science definition
Defined in 5 courses:
- A stated measure of desired success in a design problem. (Science 6: Matter, Energy & Earth Systems)
- A measurable statement of what a solution must achieve, written before options are compared so it cannot be shaped to fit a favourite. (Life Science & Scientific Inquiry)
- Feature used to evaluate success. (Physical Science: Matter, Forces & Energy)
- A feature used to judge how well a design meets its goal. (Physical Science: Matter, Forces & Energy)
- A measure of success for a design. (Earth & Space Science)
Where it is taught
- Thermal Design: Compare, Improve & Retest — Energy, Heat & Thermal Design, Science 6: Matter, Energy & Earth Systems, Grade 6
- Designing & Evaluating a Habitat Solution — Ecological Evidence & Environmental Design, Life Science & Scientific Inquiry, Grade 7
- Designing & Revising a Collision Protector — Motion, Physical Science: Matter, Forces & Energy, Grade 8
- Efficiency & Improving a Design — Work & Machines, Physical Science: Matter, Forces & Energy, Grade 8
- Evaluating Environmental Solutions — Resources & Human Decisions, Earth & Space Science, Grade 9
In use
A design that loses 12 degrees Celsius has met the criterion and further work on it is optional; a design that loses 31 degrees Celsius has not, and you now know by how much it fell short rather than only that it felt disappointing.
Thermal Design: Compare, Improve & Retest
A criterion is a statement of what the solution must achieve, expressed so that it can be measured — reduce runoff from this area by at least half during a rainfall event of this size.
Designing & Evaluating a Habitat Solution
A criterion is a feature used to judge success, such as keeping a model payload undamaged.
Designing & Revising a Collision Protector
Questions using criterion
Problem 1
- A changed design can inherit the old design’s measured results without retesting.
- The largest performance result automatically wins regardless of constraints.
- criterion: A stated measure of desired success in a design problem.
- One illustrative result establishes every real condition and needs no further evidence.
Answer and explanation
criterion: A stated measure of desired success in a design problem.
A stated measure of desired success in a design problem. C has mean drop 6 °C and costs 3 tokens, meeting both stated conditions. D has mean 4 °C but exceeds the budget. Recommend C for this modeled problem, while noting its 5–7 °C spread and repeating to check consistency. A cheaper D variant would need its own fair test.
Problem 2
Answer and explanation
A criterion evaluates success; a constraint limits allowable options, such as a maximum budget or available area.
Problem 3
Answer and explanation
A provides the larger total reduction in the model, while B gives a slightly larger reduction per token. Both fit the initial budget. Either can be supported under an explicit priority, but maintenance, repeated performance, and real-setting transfer remain unknown. Recommend a matched repeated test and a maintenance estimate; fictional tokens are not actual prices.
A reduction: 12 L; B: 10 L.
A ratio: 12/80=0.15 L/token; B: 10/60≈0.167 L/token.
Choose using total reduction or cost efficiency and identify maintenance uncertainty.
Response criteria
- Explain the relevant biological process accurately.
- Use the supplied evidence and show calculation steps with units where needed.
- Connect a labeled model or mechanism with the claim.
- State an assumption, evidence limitation, or useful next observation.
Problem 4
Answer and explanation
No. The 35 N trial fails the every-trial limit even though the mean is 27 N. Preserve the result, investigate variation, revise a mechanism and retest under matched conditions.
Read the criterion as every trial, not the mean.
Use all records before recommending a tested revision.
No. The 35 N trial fails the every-trial limit even though the mean is 27 N. Preserve the result, investigate variation, revise a mechanism and retest under matched conditions.
Response criteria
- Use the named labels, directions or supplied quantities accurately.
- Connect the visual evidence to the scientific mechanism or calculation.
- State the relevant model conditions or limitation.
Taught alongside
- constraint
- evidence
- system boundary
- uncertainty
- prototype
- iteration
- cost effectiveness
- stakeholder
- operational definition
- model
- assumption
- efficiency
- energy dissipation
- life-cycle perspective