Years 7–12 · Working Scientifically
Choose a claim. Explain why. Build an investigation that can test it. Use this toolkit alongside your course and your teacher’s instructions.
64 original two-stage questions · 12 annotated responses · 8 topic packs with separate keys
Claim + reason
Answer both stages before the explanation appears. A correct claim with an incorrect reason still needs review. Your progress stays in this browser; it is not a school grade or account mastery. Anyone using the same browser profile can see it, even after signing out. Clear quiz progress before handing over a shared device.
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Repair guides
Specify a relationship you can test: “How does ramp height affect travel time over 1 metre?” Define the changed variable, the measured quantity and units, and the conditions you will hold constant.
A hypothesis predicts a relationship and explains why it is expected. Write it before collecting data. Choose evidence that could challenge it as well as support it.
Turn a question into a plan →Close agreement among biased readings does not make them accurate.
Record the instrument’s resolution, the reading procedure and the variation in repeats. These contribute different information. Do not substitute a display’s final digit for total uncertainty.
A stated length of 50.0 ± 1.0 cm has relative uncertainty 1.0 ÷ 50.0 × 100 = 2%. State how an uncertainty was estimated; a ± interval is not automatically a statistical confidence interval.
A half-division convention is a stated scale-reading convention, not a universal uncertainty rule.
Label quantities and units. For a relationship, normally put the deliberately changed variable on the horizontal axis. Use bars for discrete categories and a scatter plot for paired quantitative measurements.
Describe trends with their spread. A straight line with a non-zero intercept is not direct proportionality. An extrapolation outside the measured range needs a clear limitation.
Investigate unusual points; do not delete them because they disagree with your prediction.
Define the target population and sampling frame. A large convenient sample can still be biased. Random selection reduces subjective selection; stratification can represent distinct habitats or groups.
Capture–recapture estimate = first marked × second caught ÷ marked recaptured. With 40 marked, 50 caught and 10 marked recaptured, the estimate is 200.
This depends on population closure, retained marks, mixing and comparable capture probability. It is an estimate, not a census.
Separate observations from interpretations. An association alone does not establish cause. Consider confounders, causal direction, sample selection and measurement definitions.
Means need sample size and spread to support a strong comparison. “No detectable difference in this study” is narrower than “identical in every situation”.
Label simulated data clearly: numbers generated from a model cannot independently verify that model’s assumptions.
A model represents selected features for a purpose. Record assumptions, tested range and simplifications. A repeatable simulation is not automatically a validated account of the real world.
Look for an observation where competing models predict different outcomes. Revise a model when relevant evidence challenges an assumption.
Theories explain; laws describe patterns. They do not form a ladder where a theory is promoted into a law.
Use a claim, relevant evidence and the scientific reason connecting them. State conditions and limitations. Preserve raw data, cite sources and document any justified exclusions.
Replace “human error” with a specific mechanism, its likely effect and a feasible improvement. Separate what you predicted from what you observed.
Plan teacher review, consent and appropriate privacy before any collection involving people.
Depth-study workbench
A depth study can involve practical work, secondary-data analysis, fieldwork or research. Start with the question and evidence needed, then decide whether the method is feasible and appropriate for your course.
Your text is saved only on this browser when you choose Save. It is shared by people using this browser profile, even after signing out; use Clear saved plan before handing over a shared device. Avoid names, private health information or other sensitive details. This planner does not approve a practical, satisfy every course requirement or award marks.
JavaScript enables local save, import and export. You can still print and write on the blank plan.
Show the connection
Compare your response with the evidence and reasoning, then use the checklist to review it yourself. These are teaching examples, not official marking guidelines or automatic essay grading.
Download the student short-response pack · Download its annotated teacher key
Print or take offline
Each topic pack has eight two-stage questions and space to explain or revise your reasoning. Download an HTML file for offline use, then use your browser’s Print command to print or save as PDF.
Download all 64 student questions · Download the separate complete teacher key
The original questions practise investigation design, processing and analysing data, evaluating evidence, problem-solving and communication. These skills appear across NSW science courses. This is a supplementary toolkit; check your course’s exact outcomes and your school’s depth-study instructions.
Alignment checked 3 October 2026. Scenarios, numerical data and worked responses are original HSCScience teaching material. They do not reproduce an official past paper.