6.2.2
Uncertainty
Uncertainty
Uncertainty
Uncertainty is a measure of how confident you can be in a measurement. All measurements contain some amount of uncertainty. Let's say we measure a piece of string to be 10cm (to the nearest cm):


Absolute uncertainty
Absolute uncertainty
- The absolute uncertainty is the range of possible real values for the length of the string.
- Length of string = 10cm ± 0.5cm
- Our absolute uncertainty is ± 0.5cm.
- Length of string = 10cm ± 0.5cm


Fractional uncertainty
Fractional uncertainty
- The fractional uncertainty is the absolute uncertainty divided by the measured value.
- Fractional uncertainty =


Percentage uncertainty
Percentage uncertainty
- The percentage uncertainty is the fractional uncertainty expressed as a percentage (i.e. multiplied by 100%).
- Percentage uncertainty =
Uncertainty on Graphs
Uncertainty on Graphs
The range of possible values for a measurement can be shown as a line on an uncertainty graph. We call this line an error bar. Some points on a graph might not have error bars.


Error bars
Error bars
- Small uncertainties are shown by small error bars.
- Large uncertainties are shown by large error bars.


Finding the uncertainty from a graph
Finding the uncertainty from a graph
- A systematic uncertainty can be spotted if the theory and the results do not match for when the independent variable is zero.
- For example, when measuring the current in a circuit we would expect the current to be zero when the supply potential difference is zero.


Finding the uncertainty from a graph 2
Finding the uncertainty from a graph 2
- If there is a systematic uncertainty, this expectation would not come true.
- We would see that the intercept of the line wasn't zero.
- The intercept would indicate the size of the systematic error.
- Once the systematic error has been found, we can use the graph to find an estimate for the random error.


Using error bars
Using error bars
- Error bars can be used to find the steepest and shallowest possible lines of best fit.
- The steepest possible line of best fit will have a gradient g1.
- The shallowest possible line of best fit will have a gradient g2.
- The uncertainty in the measurement should then be quoted as .
1Space, Time & Motion
1.1Motion
1.2Forces
1.3Momentum & Impulse
2The Particulate Nature of Matter
2.1Thermal Concepts
3Wave Behaviour
3.1Oscillations
3.2Travelling Waves
3.3Wave Characteristics
3.4Wave Behaviour
3.5Standing Waves
3.6Simple Harmonic Motion
3.7Single Slit Diffraction
3.8Interference
3.9Doppler Effect
4Fields
4.1Circular Motion
4.2Newton's Law of Gravitation
4.3Fields
4.4Fields at Work
4.5Electric Fields
4.6Magnetic Effect of Electric Currents
4.7Heating Effect of Currents
4.8Electromagnetic Induction
4.9Power Generation & Transmission
5Nuclear & Quantum Physics
5.1Discrete Energy & Radioactivity
5.2Nuclear Reactions
5.3The Interaction of Matter with Radiation
6Measurements
6.1Measurements & Errors
6.2Uncertainties & Errors
6.3Vectors & Scalars
Jump to other topics
1Space, Time & Motion
1.1Motion
1.2Forces
1.3Momentum & Impulse
2The Particulate Nature of Matter
2.1Thermal Concepts
3Wave Behaviour
3.1Oscillations
3.2Travelling Waves
3.3Wave Characteristics
3.4Wave Behaviour
3.5Standing Waves
3.6Simple Harmonic Motion
3.7Single Slit Diffraction
3.8Interference
3.9Doppler Effect
4Fields
4.1Circular Motion
4.2Newton's Law of Gravitation
4.3Fields
4.4Fields at Work
4.5Electric Fields
4.6Magnetic Effect of Electric Currents
4.7Heating Effect of Currents
4.8Electromagnetic Induction
4.9Power Generation & Transmission
5Nuclear & Quantum Physics
5.1Discrete Energy & Radioactivity
5.2Nuclear Reactions
5.3The Interaction of Matter with Radiation
6Measurements
6.1Measurements & Errors
6.2Uncertainties & Errors
6.3Vectors & Scalars
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