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Grade 12 · unit review

Review: Scientific Evidence and Capstone Design

Build a reproducible bounded scientific explanation and design proposal.

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Bring the unit skills together

Use these 4 new cases to check your reasoning. Choices are temporary and are not saved to an account, sent to staff or recorded as school grades. Download your current review choices before leaving or reloading.

Unit review questions
1. Which scientific label fits the specifically described step or feature? Supplied case: Does output differ under matched supplied inputs.
Need a hint?
  • Look for the described feature: names quantities and comparison.
  • Compare the given mechanism with the other labels; do not infer unmentioned events.
2. Supplied case 5: baseline loss (model units)=18; revised loss (same units)=10, using the explicitly named quantities. Loss reduction equals baseline loss minus revised loss. What result follows?
Need a hint?
  • Loss reduction equals baseline loss minus revised loss.
  • Use matched inputs and complete records.
3. Which scientific label fits the specifically described step or feature? Supplied case: Computed output under stated assumptions.
Need a hint?
  • Look for the described feature: result produced by a stated model.
  • Compare the given mechanism with the other labels; do not infer unmentioned events.
4. Which scientific label fits the specifically described step or feature? Supplied case: Keep failed trials in the record.
Need a hint?
  • Look for the described feature: inputs and method allow checking.
  • Compare the given mechanism with the other labels; do not infer unmentioned events.

The download contains your current choices and any checked feedback. Keep the separate transfer-task work in your own document; downloading its instructions does not mark it complete.

Use the skills in a new task

Create a four-panel explanation for “Scientific Evidence and Capstone Design” using one supplied case from each lesson. Include the observation, scientific mechanism or calculation, result and a limitation. You may draw and speak your explanation; all inputs are supplied.

Work on paper or in your own document. Explain the choices you made.

  • Use one supplied case from each of the four lessons.
  • Name the relevant structure, quantity or process in every panel.
  • Show calculations with units or a causal evidence chain.
  • Distinguish source facts from fictional classroom data.
  • State a model limit or a condition that would change the result.
Compare with a model response

Panel 1: A cover trial holds input volume/time fixed and compares measured loss for A and B. Which question matches? Which inference or prediction is best supported? Result: Whether cover arrangement changes loss under those stated conditions.. Reasoning: Defined variable, outcome and conditions make the comparison answerable within scope. Model limitation: only the stated classroom boundary and supplied observations are established; unmeasured real-world performance remains unverified. Panel 2: Supplied case 1: baseline loss (model units)=20; revised loss (same units)=12, using the explicitly named quantities. Loss reduction equals baseline loss minus revised loss. What result follows? Result: 8 model loss units. Reasoning: Substitute the supplied values: (20)-(12) = 8 model loss units. This metric improves when loss falls. A difference alone is not proof of causation. Model limitation: only the stated classroom boundary and supplied observations are established; unmeasured real-world performance remains unverified. Panel 3: Matched cover trials change only arrangement and measure loss; the records differ. What is warranted? Which inference or prediction is best supported? Result: The design better isolates arrangement’s effect within the supplied conditions.. Reasoning: Control improves causal scope for the measured model outcome, not unlimited generalization. Model limitation: only the stated classroom boundary and supplied observations are established; unmeasured real-world performance remains unverified. Panel 4: A supplied dataset contains results 4, 5 and 12; a report lists only 4 and 5. What repair is required? Which inference or prediction is best supported? Result: Restore 12 and describe variability/conditions rather than only favorable runs.. Reasoning: Transparent reporting preserves all supplied observations and explains limitations. Model limitation: only the stated classroom boundary and supplied observations are established; unmeasured real-world performance remains unverified.

A different response can also meet the criteria. Compare the evidence and reasoning, rather than copying the wording.