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This lesson covers the core practical on investigating reaction time using the ruler drop test, as required by the Edexcel GCSE Combined Science specification (1SC0). You need to understand the method, identify variables, calculate reaction time, evaluate results and suggest improvements to accuracy.
Reaction time is the time it takes for a person to respond to a stimulus. It is a measure of how quickly the nervous system can detect a stimulus, process it and produce a response.
Typical human reaction times:
| Response Type | Typical Reaction Time |
|---|---|
| Visual stimulus (e.g. catching a ruler) | 200–300 ms (0.2–0.3 s) |
| Auditory stimulus (e.g. responding to a sound) | 150–250 ms |
| Touch stimulus | 150–200 ms |
This practical uses the ruler drop test to measure reaction time. It tests the reaction time of the nervous system: Stimulus (ruler drops) → Receptor (eyes detect movement) → Sensory neurone → CNS → Motor neurone → Effector (hand muscles close) → Response (ruler caught).
Exam Tip: This is a core practical — you will be expected to describe the method, identify variables, analyse results and evaluate the procedure. Make sure you can do all of these for the ruler drop test.
To investigate the effect of a chosen factor on human reaction time using the ruler drop test.
graph TD
A["Person A holds ruler<br/>0 cm at bottom"] --> B["Person B positions<br/>fingers at 0 cm mark"]
B --> C["Person A drops ruler<br/>without warning"]
C --> D["Person B catches<br/>ruler as fast as possible"]
D --> E["Read distance<br/>where ruler was caught"]
E --> F["Record distance<br/>and repeat 5+ times"]
F --> G["Calculate mean<br/>and convert to time"]
Identifying and controlling variables is essential for a valid experiment:
| Variable Type | Variable | Details |
|---|---|---|
| Independent variable | The factor being tested (e.g. caffeine intake, time of day, distractions, practice) | This is what you deliberately change |
| Dependent variable | The distance the ruler falls (converted to reaction time) | This is what you measure |
| Control variables | Same ruler, same hand, same starting position, same person catching, no distractions (unless testing this), adequate rest between attempts | These must be kept the same to ensure a fair test |
Exam Tip: Always state your independent, dependent and control variables clearly when describing an experiment. Examiners award marks for correctly identifying all three.
The ruler falls under gravity (acceleration ≈ 9.8 m/s²). The distance the ruler falls can be converted to reaction time using the formula:
t = √(2d / g)
Where:
| Distance Fallen (cm) | Reaction Time (s) |
|---|---|
| 5 | 0.10 |
| 10 | 0.14 |
| 15 | 0.17 |
| 20 | 0.20 |
| 25 | 0.23 |
| 30 | 0.25 |
Worked Example:
A student catches the ruler at 18 cm (0.18 m).
t = √(2 × 0.18 / 9.8)
t = √(0.36 / 9.8)
t = √(0.0367)
t = 0.19 s (to 2 significant figures)
| Attempt | Distance (cm) |
|---|---|
| 1 | 22 |
| 2 | 18 |
| 3 | 20 |
| 4 | 45 (anomalous — not included) |
| 5 | 19 |
| Mean | (22 + 18 + 20 + 19) ÷ 4 = 19.75 cm |
The result of 45 cm is much higher than the others and is likely an anomalous result (an outlier). This could have been caused by:
Anomalous results should be identified and excluded from the mean calculation, but you should record them in your data table and note that they were excluded.
Exam Tip: When calculating a mean, always state that anomalous results have been excluded and explain why. Simply ignoring data without justification will lose marks.
| Error | Type | How to Minimise |
|---|---|---|
| Person A gives unconscious cues before dropping | Systematic | Vary the wait time; Person B looks at ruler, not tester |
| Ruler caught at an angle; reading error | Random | Ensure ruler is vertical; read at top of thumb |
| Person B anticipates the drop | Systematic | Vary time interval; exclude obviously early catches |
| Distractions in the room | Random | Conduct in a quiet, controlled environment |
| Different grip widths between attempts | Random | Keep grip width consistent |
Exam Tip: In evaluation questions, always distinguish between random errors (vary unpredictably) and systematic errors (consistently shift results in one direction). Suggest specific improvements for each error you identify.
The basic experiment can be extended to investigate factors that affect reaction time:
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