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Learning Intention 1

Design a Valid Investigation

  • Identify independent, dependent and controlled variables
  • Select appropriate equipment and measurement techniques
Learning Intention 2

Collect and Process Primary Data

  • Record raw data with correct units and appropriate precision
  • Process data to validate theoretical predictions
Learning Intention 3

Analyse and Evaluate

  • Compare experimental results to theoretical models
  • Identify sources of error and suggest improvements
Think First — Predict

If you launch a ball horizontally from a ramp at different heights, how will the horizontal range depend on the launch height? Sketch your predicted graph before reading on.

Year 12 Physics Module 5: Advanced Mechanics 60 min Practical Investigation IQ1: Projectile Motion

Practical Investigation: Validating Projectile Motion

Syllabus 5.4 — Collect primary data to validate the relationships derived for projectile motion. Design, conduct, analyse and evaluate a first-hand investigation.

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1

Aim and Theoretical Background

What we expect to observe based on the model

Practical Setup

Practical Setup

Practical Setup Detailed

Practical Setup Detailed

Aim: To determine the relationship between the launch height and the horizontal range of a projectile launched horizontally, and to compare the experimental results with the theoretical model.

Assumptions of the model:

  • The vertical acceleration is constant and equal to $g = 9.8\ \text{m/s}^2$ downward
  • Air resistance is negligible
  • The launch velocity is horizontal (launch angle $\theta = 0°$)

For a horizontal launch from height $h$ with speed $v_x$:

Σ

Theoretical Prediction

$s_y = \tfrac{1}{2}gt^2 \Rightarrow t = \sqrt{\dfrac{2h}{g}}$ time of flight from vertical motion
$R = v_x \cdot t = v_x \sqrt{\dfrac{2h}{g}}$ horizontal range

If $v_x$ and $g$ are constant, then $R \propto \sqrt{h}$. A graph of $R$ versus $\sqrt{h}$ should be a straight line through the origin with gradient $v_x\sqrt{2/g}$.

Key Prediction

Because $R \propto \sqrt{h}$, doubling the launch height does not double the range. Quadrupling the height doubles the range. This non-linear relationship is what the experiment will test.

2

Method

A reproducible procedure for collecting valid data

Equipment:

  • Ball bearing or small solid sphere (minimise air resistance)
  • Smooth ramp or track with horizontal exit section
  • Retort stand and clamp
  • Metre ruler (±1 mm)
  • Carbon paper and white paper (or motion sensor / video camera)
  • Balance (to measure mass, optional)
  • Stopwatch (±0.01 s, optional for time-of-flight check)

Variables:

  • Independent: Launch height $h$ (measured from floor to exit point)
  • Dependent: Horizontal range $R$ (measured from base of ramp to landing point)
  • Controlled: Launch speed $v_x$ (same release position on ramp), same ball, same surface, minimal air movement

Procedure:

  1. Set up the ramp so the exit is perfectly horizontal. Check with a spirit level.
  2. Place carbon paper over white paper on the floor to mark landing positions.
  3. Release the ball from a fixed position on the ramp. Do not push — let it roll from rest to ensure consistent speed.
  4. Measure the vertical height $h$ from the floor to the centre of the ball at the exit point.
  5. Measure the horizontal range $R$ from the point directly below the exit to the centre of the landing mark.
  6. Repeat for at least 5 different heights, keeping the release position constant.
  7. At each height, perform at least 3 trials and average the range.
Safety

Ensure the landing area is clear. Use a ball that will not roll into traffic or off benches. Wear safety glasses if using a spring launcher.

3

Results Table

Record your primary data here

Trial Height $h$ (m) $\sqrt{h}$ (m½) Range $R_1$ (m) Range $R_2$ (m) Range $R_3$ (m) Mean Range $\bar{R}$ (m) Uncertainty (m)
1
2
3
4
5

Sample data (for comparison if you cannot perform the experiment):

Height $h$ (m) $\sqrt{h}$ (m½) Mean Range $\bar{R}$ (m)
0.100.3160.32
0.200.4470.45
0.300.5480.55
0.400.6320.64
0.500.7070.71

These sample data assume $v_x \approx 1.0\ \text{m/s}$ and $g = 9.8\ \text{m/s}^2$.

4

Analysis and Validation

Compare experiment to theory

Step 1 — Plot the graph

Plot $\bar{R}$ (vertical axis) versus $\sqrt{h}$ (horizontal axis). Draw a line of best fit.

Step 2 — Determine the gradient

The theoretical gradient is:

$m_{\text{theory}} = v_x \sqrt{\dfrac{2}{g}}$

From your graph, calculate the experimental gradient $m_{\text{exp}}$ using:

$m_{\text{exp}} = \dfrac{\Delta R}{\Delta \sqrt{h}}$

Step 3 — Compare

Calculate the percentage difference:

$\%\ \text{difference} = \dfrac{|m_{\text{exp}} - m_{\text{theory}}|}{m_{\text{theory}}} \times 100\%$

Step 4 — Calculate launch speed from data

Rearranging the gradient formula:

$v_x = m_{\text{exp}} \sqrt{\dfrac{g}{2}}$

Compare this calculated $v_x$ to any independent measurement of launch speed (e.g., from a motion sensor or timing gate).

Validation Criteria

A well-conducted investigation should yield a percentage difference under 10%. If your difference is larger than 15%, review your measurement technique and controlled variables.

5

Error Analysis and Evaluation

Working Scientifically — identify and address limitations

Systematic errors:

  • Ramp not perfectly horizontal: A slight upward angle increases range; downward decreases it. Check with a spirit level.
  • Air resistance: Significant for light objects or high speeds. Use a dense ball bearing.
  • Release position inconsistent: If the ball is pushed or released from slightly different points, $v_x$ varies. Use a release gate or marked release line.

Random errors:

  • Parallax in height measurement: Read the ruler at eye level.
  • Uncertainty in landing position: The ball may bounce or roll slightly. Carbon paper helps mark the first contact point.
  • Timing uncertainty: If measuring time of flight with a stopwatch, human reaction time (~0.2 s) is a significant source of error.

Reliability:

  • Repeating trials at each height and averaging reduces random error.
  • A spread of at least 5 different heights tests the model across a range of conditions.

Improvements:

  • Use a video camera or motion sensor to measure $v_x$ independently and compare.
  • Conduct the experiment in a vacuum chamber (advanced) to eliminate air resistance.
  • Use a photogate at the exit to measure $v_x$ directly and verify the constant-speed assumption.
6

Reliability Check — Time of Flight

A second validation using a different relationship

The theoretical time of flight is $t = \sqrt{2h/g}$. If you can measure $t$ independently (e.g., with a motion sensor or slow-motion video), you can validate:

$R = v_x \cdot t$

Rearranging: $v_x = R/t$. Calculate $v_x$ from each $(R, t)$ pair. If $v_x$ is approximately constant across all heights, this confirms that horizontal speed is unaffected by vertical motion — a fundamental assumption of the projectile model.

Height $h$ (m) Theoretical $t$ (s) Measured $t$ (s) $\%$ difference
0.200.20
0.400.29
0.600.35

Theoretical times use $t = \sqrt{2h/g}$ with $g = 9.8\ \text{m/s}^2$.

Interactive: Data Plotter Interactive
Apply Band 4 3 marks

Explain why the ball must be released from the same position on the ramp for every trial. What variable would be affected if the release position changed?

Analyse Band 5 4 marks

A student obtains a curved graph when plotting $R$ versus $h$, but a straight line when plotting $R$ versus $\sqrt{h}$. Explain why this observation validates the theoretical model $R = v_x\sqrt{2h/g}$. Include the physical meaning of the gradient in your answer.

Evaluate Band 6 5 marks

Evaluate the assumption that air resistance is negligible in this experiment. Under what conditions would air resistance become significant? Describe how the experimental graph would deviate from the theoretical prediction if air resistance were significant, and explain the shape of this deviation.

Model Answers

Question 1 (3 marks)

The release position determines the gravitational potential energy converted to kinetic energy, which controls the horizontal launch speed $v_x$ (1 mark). If the release position changes, $v_x$ changes, making $v_x$ an uncontrolled variable (1 mark). Since $R \propto v_x$, any change in $v_x$ directly affects the range, confounding the relationship between $h$ and $R$ that we are trying to validate (1 mark).

Question 2 (4 marks)

The theoretical model predicts $R = v_x\sqrt{2/g} \cdot \sqrt{h}$, which is a linear relationship between $R$ and $\sqrt{h}$ passing through the origin (1 mark). The straight-line graph confirms this proportional relationship, while the curved $R$-$h$ graph reflects the square-root dependence (1 mark). The gradient of the $R$ versus $\sqrt{h}$ graph equals $v_x\sqrt{2/g}$ (1 mark), which is constant because $v_x$ and $g$ are constant in the experiment. This provides quantitative validation: the experimental gradient can be compared to the theoretical value (1 mark).

Question 3 (5 marks)

Air resistance is negligible for dense objects at low speeds, but becomes significant for light objects (e.g., ping-pong balls), large surface areas, or high speeds (1 mark). Air resistance opposes motion, reducing both horizontal speed and vertical acceleration below $g$ (1 mark). With air resistance, the experimental range would be less than the theoretical prediction at larger heights/speeds (1 mark). The graph of $R$ versus $\sqrt{h}$ would curve downward at higher values rather than remaining straight (1 mark), because air resistance increases with speed, causing greater fractional reduction in range as $h$ increases (1 mark).

Mark Practical Complete

Tick this box when you have finished all sections of this practical investigation.