Physics • Year 12 • Module 5 • Lesson 5

Practical Investigation: Validating Projectile Motion

Master HSC-style practical analysis — variables, linearisation, uncertainty propagation, and a band 5–6 evaluation of a primary investigation into projectile motion.

Master · Practical-Lite

1. Setup and primary data

Apparatus. A steel ball bearing is released from a fixed marked release line on a smooth curved ramp clamped to a retort stand. The exit of the ramp is checked horizontal with a spirit level. The exit height h above the floor is varied between trials by raising or lowering the retort stand clamp. At each height, the landing position is recorded on a sheet of white paper placed under a sheet of carbon paper on the floor. The horizontal range R is measured from the point directly below the exit (located using a plumb line) to the centre of the carbon mark. Three trials are conducted at each height; the mean range is reported. Use g = 9.80 m s−2.

Measurement uncertainties. Each height h is measured to Δh = ±0.005 m (half the smallest scale division of a 1 mm-resolution metre ruler). Each mean range value carries an uncertainty of ΔR = ±0.02 m, taken as half the spread of the three trial values.

Primary data table.

h (m) ± 0.005 R1 (m) R2 (m) R3 (m) Mean R̄ (m) ± 0.02 √h (m½)
0.1000.320.300.340.320.316
0.2000.440.460.450.450.447
0.3000.540.550.560.550.548
0.4000.620.640.660.640.632
0.5000.690.710.730.710.707
Data identical to the lesson's "sample data" table (Card 3). Treat as the primary data for this analysis.

2. Identify variables

Complete each box. 5 marks

Independent variable (IV) — what was deliberately changed:

Dependent variable (DV) — what was measured:

Controlled variables — list at least three, each with one sentence on how it was controlled:

Stuck? Revisit lesson § Card 2 "Variables" — the lesson lists every variable used in this experiment.

3. Linearise and plot

The raw relationship R = vx √(2h / g) is non-linear in h. To validate the model graphically we linearise by plotting R̄ (y-axis) against √h (x-axis) — theory predicts a straight line through the origin of gradient vx √(2/g). 6 marks

(a) Plot the five data points from Section 1 onto the grid below. Add error bars: ±√((ΔR)2) on R (vertical) and ±(Δh / (2√h)) on √h (horizontal). Draw the line of best fit through the points and the origin.

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 √h (m^½) 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 Mean R̄ (m)

(b) Transformation table — fill in the experimental gradient and intercept from your line of best fit.

Quantity from graphSymbolValue (units)
Experimental gradient (rise / run)mexp
y-interceptc
Implied launch speed vx = mexp √(g / 2)vx
Stuck? Revisit lesson § Card 4 "Analysis and Validation" — Steps 1 to 4 walk through this exact transformation.

4. Propagate uncertainty through vx

For a single (h, R̄) pair, vx = R̄ / √(2h / g) = R̄ √(g / 2h). When a value is calculated from a product or quotient of measured quantities raised to powers, the fractional uncertainties add in quadrature:

(Δvx / vx)2 = (ΔR̄ / R̄)2 + (½ · Δh / h)2

The factor of ½ on the Δh / h term comes from the square-root dependence on h (powers carry through as multipliers on the fractional uncertainty).

Use the h = 0.300 m row of your data table (h = 0.300 ± 0.005 m, R̄ = 0.55 ± 0.02 m, g taken as exact). Show every step. 5 marks

(a) Calculate the central value vx.

(b) Calculate ΔR̄ / R̄ and (½ · Δh / h) as decimals.

(c) Combine in quadrature to obtain Δvx / vx, then Δvx.

(d) Quote vx as value ± uncertainty, with the uncertainty rounded to 1 sig fig and the central value rounded to the same decimal place.

5. Extended response — inquiry question

7 marks   Band 5–6

Inquiry question (Module 5, IQ1): How can models that are used to explain projectile motion be tested?

Q5. Using the practical investigation described in Section 1, evaluate how successfully the data collected validate the model R = vx √(2h / g). In your response:

Stuck? Revisit lesson § Card 4 "Validation Criteria" callout (the <10% rule) and § Card 5 "Error Analysis and Evaluation" — systematic vs random errors are explicitly listed.
Answers — Do not peek before attempting

Q2 — Variables

Independent variable (IV): launch (exit) height h, measured from the floor to the centre of the ball at the ramp exit. Varied deliberately across five values from 0.100 m to 0.500 m.

Dependent variable (DV): horizontal range R, measured from the point on the floor directly below the ramp exit to the centre of the landing mark.

Controlled variables (any three of):

  • Launch speed vx: the ball is released from rest at the same marked position on the ramp every trial, so the gravitational PE → KE conversion gives the same exit speed each time.
  • The ball: a single dense steel ball bearing is used for every trial to keep mass, diameter and air-resistance behaviour constant.
  • Launch angle: the ramp exit is checked horizontal with a spirit level before each set of trials, so the launch angle is consistently 0°.
  • Surface and air conditions: the same lab bench and floor surface are used in still air, so rolling friction and air movement do not vary between trials.

Marking note: 1 mark IV, 1 mark DV, 1 mark per properly identified controlled variable up to 3.

Q3 — Plot & transformation table (expected values)

Plotted points (√h, R̄): (0.316, 0.32), (0.447, 0.45), (0.548, 0.55), (0.632, 0.64), (0.707, 0.71). Error bar lengths (with Δh = 0.005 m and ΔR̄ = 0.02 m): vertical ±0.02 m on every point; horizontal Δ√h = Δh / (2√h) = e.g. 0.005 / (2 × 0.316) = 0.0079 m½ at h = 0.100 m, shrinking to 0.0035 m½ at h = 0.500 m.

The data lie almost exactly on a straight line through the origin. Line of best fit:

  • mexp ≈ 1.00 m½ (gradient by least-squares through origin: Σ(xy) / Σ(x2) = 1.286 / 1.286 = 1.000).
  • c ≈ 0 (intercept passes through origin within error, as the model predicts — this itself is part of the validation).
  • Implied vx = mexp √(g/2) = 1.00 m½ × √4.90 m s−2 = 1.00 × 2.214 = 2.21 m s−1.

Units check on vx: (m½) × √(m s−2) = (m½) × (m½ s−1) = m s−1 ✓.

Q4 — Uncertainty propagation (h = 0.300 ± 0.005 m, R̄ = 0.55 ± 0.02 m)

(a) Central value.

vx = R̄ √(g / 2h) = (0.55 m) × √((9.80 m s−2) / (2 × 0.300 m)) = (0.55 m) × √(16.33 s−2) = (0.55 m) × (4.041 s−1) = 2.223 m s−1.

(b) Fractional uncertainties.

ΔR̄ / R̄ = 0.02 / 0.55 = 0.0364 (3.64%).

½ · Δh / h = 0.5 × (0.005 / 0.300) = 0.5 × 0.01667 = 0.00833 (0.83%).

(c) Combine in quadrature.

(Δvx / vx)2 = (0.0364)2 + (0.00833)2 = 0.001325 + 0.0000694 = 0.001394.

Δvx / vx = √0.001394 = 0.0373 (3.73%).

Δvx = 0.0373 × 2.223 m s−1 = 0.0830 m s−1.

(d) Quote with consistent rounding.

Round Δvx to 1 sig fig: Δvx ≈ 0.08 m s−1. Round central value to the same decimal place: vx = 2.22 m s−1.

vx = (2.22 ± 0.08) m s−1.

Marking note: the dominant uncertainty contribution comes from ΔR̄ (3.64%), not Δh (only 0.83% after the ½ factor). This justifies the experimental priority on accurate range measurement (carbon paper + plumb line) over even finer height measurement.

Q5 — Sample band 5–6 extended response (annotated)

[Mark 1 — testable prediction] The experimental design isolates one specific testable prediction of the projectile model: with vx held constant (controlled by releasing the ball from the same marked release line on the ramp) and g taken as 9.80 m s−2, the horizontal range R should depend on launch height h according to R = vx√(2h/g), which linearises to R proportional to √h with theoretical gradient vx√(2/g) and zero intercept.

[Mark 2 — refers to graph] The R vs √h plot in Section 3 yields a line of best fit through the origin with gradient mexp ≈ 1.00 m½ and intercept c ≈ 0. Both the linearity and the zero intercept directly support the model: a non-linear plot or non-zero intercept would falsify the √h dependence.

[Mark 3 — uses uncertainty quantitatively] The implied launch speed from the gradient is vx = (2.22 ± 0.08) m s−1 (from Section 4 propagation of ±0.005 m in h and ±0.02 m in R̄). This 3.7% relative uncertainty is well inside the lesson's <10% acceptance threshold, providing quantitative validation rather than mere visual agreement.

[Mark 4 — random vs systematic error addressed by design] Random error in range — caused by small inconsistencies in release, ball spin and landing-mark spread — is reduced by averaging three trials at each height and quantified by the ±0.02 m range uncertainty used in error bars and uncertainty propagation. Systematic error, in contrast, would shift every measurement in the same direction and is addressed by (i) checking the ramp exit is horizontal with a spirit level (eliminating a non-zero launch angle), (ii) using a plumb line to locate the point directly below the exit (eliminating a constant offset in R), and (iii) using a dense steel ball bearing to keep air resistance negligible.

[Mark 5 — quantitative judgement] Because (a) the data are linear in √h, (b) the intercept is consistent with zero, and (c) the implied vx is determined to ~4% precision, the model R = vx√(2h/g) is validated within the resolution of the experiment.

[Mark 6 — residual error identified] Residual error not removed by the design includes rolling friction along the ramp, which slowly bleeds kinetic energy and very slightly reduces vx in the higher-PE (taller release-line) configuration; if significant, this would produce a small downward curvature in the R vs √h plot at high h, which is not visible in the present data but would become detectable with a wider range of h.

[Mark 7 — improvement / reliability tie-in] An obvious extension to tighten the test is to insert a photogate at the ramp exit to measure vx directly, then compare mexp√(g/2) with the photogate vx as an independent cross-check — exactly the strategy raised in the lesson's Reliability Check (Card 6) and Improvements list (Card 5).

Marking notes by band:

  • Band 3 (1–2 marks): identifies the formula being tested; describes the experiment in narrative form without using the graph or uncertainty calculation.
  • Band 4 (3–4 marks): uses the linearised graph as evidence; mentions random and systematic error but does not quantify them.
  • Band 5 (5–6 marks): brings the quantitative result vx = (2.22 ± 0.08) m s−1 from Section 4 into the judgement; correctly distinguishes random from systematic error and ties each to a specific design feature.
  • Band 6 (7 marks): all of the above, plus identifies a plausible residual error not removed by the design and proposes a targeted improvement (e.g. photogate cross-check) that directly addresses it.