Unit 3: Measurement and Scientific Evidence
01 Types of variable
| Variable | Meaning |
|---|---|
| Independent | The one variable you deliberately change |
| Dependent | The variable you measure, which changes because of the independent variable |
| Controlled | Variables you keep the same, so the test is fair |
02 Accuracy vs. precision
Accuracy means how close a measurement is to the true, correct value.
Precision means how close repeated measurements are to each other (even if they are not close to the true value).
Think of shooting arrows at a target: arrows grouped tightly in the bullseye = accurate and precise. Arrows grouped tightly but away from the bullseye = precise but not accurate. Arrows scattered but centred on the bullseye on average = accurate but not precise.
03 Uncertainty and repeats
No measurement is perfect. There is always some uncertainty from the limits of your instrument and from human error. To reduce the effect of random error:
- Repeat each measurement (usually 3 times) and calculate the mean (average)
- Identify and remove clear outliers (anomalous results) before averaging
- Use instruments with finer scales when possible
04 Presenting evidence
Good evidence is organised clearly: a labelled table with correct units, and a graph with labelled axes, units, a sensible scale, and a line or curve of best fit (not just dot-to-dot).
V Key vocabulary
| Term | Meaning |
|---|---|
| Independent variable | The variable you choose to change in an experiment. |
| Dependent variable | The variable you measure as a result. |
| Anomaly | A result that does not fit the general pattern of the data. |
| Mean | The average of a set of repeated results. |
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