The error margin, also known as uncertainty, in a mass measurement shows how much the measured value might deviate from the true value. In our example (4.6 g ± 0.2 g), the ± 0.2 g indicates the error margin.
This uncertainty arises due to various factors, such as:
- Instrument precision
- Human error
- Environmental conditions
The error margin gives a range within which the true mass is expected to fall. It provides a sense of the confidence we can have in the measurement. To express this formally, we write it as a plus-minus value (±), signifying the possible variation above and below the measured average.
Understanding and considering the error margin is crucial for accurate scientific measurement and data interpretation.