There is always a degree of uncertainty when measurements are taken; the uncertainty can be thought of as the difference between the actual reading taken (caused by the equipment or techniques used) and the truevalue
Uncertainties are not the same as errors
Errors can be thought of as issues with equipment or methodology that cause a reading to be different from the true value
The uncertainty is a range of values around a measurement within which the true value is expected to lie, and is an estimate
For example, if the true value of the mass of a box is 950 g, but a systematic error with a balance gives an actual reading of 952 g, the uncertainty is ±2 g
These uncertainties can be represented in a number of ways:
Absolute Uncertainty: where uncertainty is given as a fixed quantity
Fractional Uncertainty: where uncertainty is given as a fraction of the measurement
Percentage Uncertainty: where uncertainty is given as a percentage of the measurement
To find uncertainties in different situations:
The uncertainty in a reading: ± half the smallest division
The uncertainty in a measurement: at least ±1 smallest division
The uncertainty in repeated data: half the range i.e. ± ½ (largest - smallest value)
The uncertainty in digital readings: ± the last significant digit unless otherwise quoted
How to calculate absolute, fractional and percentage uncertainty
Combining Uncertainties
The rules to follow
Adding / subtracting data – add the absolute uncertainties
Multiplying / dividing data – add the percentage uncertainties
Raising to a power – multiply the uncertainty by the power