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QCE Physics IA2 student experiment: the 2026 guide

A complete guide to the QCE Physics IA2 student experiment. Common experimental contexts, scientific report structure, uncertainty handling, and the writing moves that secure top-band marks.

Generated by Claude Opus 4.816 min readQCAA-PHYS-IA2

Reviewed by: AI editorial process; not yet individually human-reviewed

Jump to a section
  1. What this guide is for
  2. Common contexts
  3. Scientific report structure
  4. Research question
  5. Hypothesis
  6. Methodology
  7. Data and uncertainty
  8. Analysis
  9. Discussion
  10. Conclusion
  11. Check your knowledge

What this guide is for

QCE Physics IA2 is a major Unit 3 assessment. The student-designed experiment, scientifically reported, is worth 20 percent of the subject result. This guide covers common contexts, report structure, and the moves that secure top band.

Common contexts

Projectile range
Verify R=v2sin(2θ)/gR = v^2 \sin(2\theta) / g. IV: launch angle. DV: range. Use a marble launcher or spring-loaded cannon at fixed initial velocity.
Conical pendulum
Verify F=mv2/rF = m v^2 / r or T=2πLcosθ/gT = 2\pi \sqrt{L \cos\theta / g}. IV: angle. DV: period or required force.
Simple pendulum
Verify T=2πL/gT = 2\pi \sqrt{L/g} and derive gg. IV: length. DV: period. Linearise via T2T^2 vs LL.
Faraday induction
EMF vs rate of flux change. IV: magnet drop speed or coil turns. DV: induced EMF.
Transformer
Turns ratio vs voltage ratio. IV: secondary turns. DV: secondary voltage at fixed primary AC input.

Scientific report structure

Title
Specific.
Abstract
~150 words.
Introduction
  • Research question.
  • Theoretical framework (relevant Unit 3 physics).
  • Hypothesis with prediction.
  • Aim.

Method.

  • Variables (IV with range, DV with precision, controlled).
  • Apparatus (labelled diagram).
  • Procedure.
  • Risk assessment.

Results.

  • Raw data table.
  • Processed data with uncertainty.
  • Graphs (linearised).

Analysis.

  • Best-fit line, gradient, intercept with uncertainty.
  • Comparison to theory.

Discussion.

  • Uncertainty sources.
  • Limitations.
  • Improvements.

Conclusion. Direct answer to research question.

References.

Research question

Specific, testable. Example: "How does the angle of release of a projectile fired from a horizontal surface affect its horizontal range, for launch angles between 15 and 75 degrees in 10-degree intervals, with initial velocity controlled at 5.0 plus/minus 0.2 m/s?"

The strong version specifies ranges, increments, and the controlled variable.

Hypothesis

With theoretical basis. "Range will be maximum at 45 degrees, with R=v2sin(2θ)/g=(5.0)2sin(2θ)/9.8=2.55sin(2θ)R = v^2 \sin(2\theta) / g = (5.0)^2 \sin(2\theta) / 9.8 = 2.55 \sin(2\theta) m." Predicts the specific functional form.

Hypothesis-to-graph workflow for an IA2 student experiment A left-to-right flow diagram with five labelled stages, each shown as a rounded rectangle with an arrow leading to the next. Stage one is the named hypothesis with theoretical equation. Stage two is the controlled variables list with their tolerances. Stage three is the measurement choice with instrument resolution. Stage four is the linearisation step that transforms the non-linear equation to a straight line. Stage five is the graph type, a linearised scatter plot, with the gradient identified as the physical quantity to be extracted. Each stage names the QCAA ISMG criterion it serves. hypothesis T = 2π√(L/g) planning criterion controlled mass 50 ± 0.1 g amplitude < 10° planning criterion measurement photogate ± 1 ms ruler ± 1 mm analysis of evidence linearise T2 ∝ L interpretation linearised graph L
Each stage of the workflow services a different ISMG criterion; the named hypothesis sets up the linearisation that determines the gradient, and the gradient is the experimental value the conclusion criterion reports.

Methodology

Detailed enough to replicate.

Labelled diagram. Step-by-step procedure. Risk assessment naming hazards and mitigation.

Justify design choices. Why these increments? Why this many trials per IV value?

Data and uncertainty

Raw data table
Each measured value with its uncertainty and units.
Processed data
Derived values with propagated uncertainties.
Graphs
Linearised where applicable. Uncertainty bars on both axes. Best-fit line plus min/max slope lines.

Analysis

Gradient and intercept with uncertainty.

Compare to theoretical prediction.

For pendulum: gradient of T2T^2 vs LL should be 4π2/g4\pi^2/g. Calculate gg from gradient; compare to 9.8 m/s2^2.

Discussion

Name specific uncertainty sources tied to specific steps.

Distinguish random (varies trial to trial) from systematic (consistent bias).

Discuss whether results agree with theory within uncertainty.

Suggest improvements specific to the experimental procedure.

Residual analysis comparing random scatter to a systematic trend Two side-by-side residual-versus-x plots. The left plot shows five residuals scattered randomly above and below the zero line with uncertainty bars of plus or minus 0.4, supporting the linear model under the IA2 evaluation criterion. The right plot shows five residuals lying on a clear quadratic curve, indicating a systematic effect such as air resistance that the linear model has missed; this would be flagged in the discussion as a model limitation. +0.5 0 −0.5 1 2 3 4 5 x / arbitrary units random: model OK +0.5 0 −0.5 1 2 3 4 5 x / arbitrary units systematic: model needs work curved residuals: a missing effect (e.g. drag)
Residuals scattering randomly evaluate the model favourably under the IA2 evaluation criterion; a curved residual pattern is a flag the discussion must name and quantify.

Conclusion

A direct answer to the research question. Include experimental value with uncertainty. Compare to theory or accepted value.

Check your knowledge

Six questions covering hypothesis design, equipment limitations, and reproducibility for the IA2 student experiment. ISMG criteria are signposted in the solutions. Three significant figures and units throughout.

  1. State the difference between a hypothesis and a research question in IA2 terms, then convert the hypothesis "Heavier magnets induce a larger EMF" into an IA2-grade research question tied to Faraday's law. (3 marks)
  2. A student uses a stopwatch (±\pm 0.20 s reaction time) to measure the period of a 1.00 m pendulum at five amplitudes (5, 10, 20, 30, 45 degrees). Discuss two equipment limitations of this choice and the modifications that would reduce each, with reference to the small-angle approximation. (4 marks)
  3. A study measures the speed of waves on a string at five tensions TT: 5.0, 10.0, 15.0, 20.0, 25.0 N (uncertainty ±\pm 0.2 N), with constant linear density μ=1.50×103\mu = 1.50 \times 10^{-3} kg m1^{-1}. Wave speeds (m s1^{-1}): 57.8, 81.0, 99.5, 115.2, 128.5. (a) Linearise v=T/μv = \sqrt{T/\mu} and calculate the gradient using the first and last points. (b) From the gradient, calculate the experimental value of μ\mu. (c) Calculate the percent error from the accepted value and identify the dominant systematic source. (7 marks)
  4. The student's evaluation writes: "The experiment was reproducible because we got similar results each time." Identify three weaknesses against QCAA top-band evaluation criteria, then rewrite a one-paragraph evaluation that addresses each weakness for the context of a projectile-range investigation. (5 marks)
  5. An IA2 study investigates the relationship between gravitational acceleration and altitude using a pendulum at five altitudes around south-east Queensland (Brisbane CBD 30 m, Mount Coot-tha 290 m, Springbrook 950 m, Mount Tamborine 525 m, Sunshine Coast 5 m), getting gg values that vary by under 0.1 percent across the data set. (a) Calculate the expected percentage variation in gg from theory (g1/r2g \propto 1/r^2 with rr measured from the centre of the Earth, RE=6.371×106R_E = 6.371 \times 10^{6} m) between altitudes 5 m and 950 m. (b) State whether the experimental result is consistent with theory and justify with reference to the data spread and the measurement uncertainty in a single-pendulum determination of gg (typically ±\pm 0.5 percent). (c) Propose a modification to make the altitude variation detectable. (6 marks)
  6. A student wishes to test whether the period of a vertical spring oscillator follows T=2πm/kT = 2 \pi \sqrt{m/k}. List five repeats needed to test reproducibility, two procedural modifications that would tighten the data, and one alternative measurement to verify kk independently. (5 marks)
  • physics
  • qce-physics
  • ia2
  • student-experiment
  • scientific-report
  • year-12
  • 2026