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Uncertainty and Error 
Analysis
Uncertainties 
Every measurement has uncertainty. 
Why? 
• The measuring device 
• Experimental technique 
• Nature of the measurement itself 
– For example the weight of a grain of sand
Uncertainties in raw data 
• When using an analogue scale the uncertainty 
is given as ± half the smallest increment on 
the measuring device. 
. 
• i.e. In this example, the smallest measurement 
is units of 1, so the uncertainty would be ± 0.5
Try the following 
9.5 ±0.5 cm 
8.5±0.25 = 8.5±0.3cm 
11.9±0.1 cm
NOTE 
• Uncertainty is always reported to 1 significant 
figure. 
• The number of decimal places that the 
uncertainty has must equal the number of 
decimal places the measurement has.
31.9±0.5 ml
• When using a digital scale, the uncertainty is 
± 1 part of the smallest reading. 
• For example: In this picture, the smallest 
reading is to the first decimal place so the 
uncertainty would be ± 0.1 g
When the instrument tells you what 
the uncertainty is
Repeated Measurements 
• When you repeat the measurement many 
times. 
• Find the average of all the trials 
• Then: 
– Uncertainty = ±1/2 (Max – min)
Repeat Measurements Example 
Ming measures the height of a chair 5 times. He 
gets the following results: 
2500 mm, 2504 mm, 2509 mm, 2506 mm, and 
2501 mm 
Average value = 2504 mm 
Uncertainty = (2509 – 2500)/2 = 4.5 mm 
Height of the chair = 2504 ± 5 mm This means the true 
height is between 
2499 and 2509 mm
Accuracy and Precision 
A dog is weighed multiple times using a digital 
scale. All the measurements were very similar 
and the weight was found to be: 
55.25 ± 0.01 kg 
This is very precise. 
Precise means multiple measurements, same 
result
Accuracy and Precision 
The dog was found to weigh 55.25 ± 0.01 kg. 
This is a precise result but not accurate 
The dog is still wearing its coat 
Accurate is how close a 
measurement is to the true value
Accuracy and Precision 
If we weigh the dog again, this time without his 
coat but using a balance scale, we get a 
measurement of 55 ± 1 kg. 
This is more accurate but less precise.
Accuracy and Precision 
If we weigh the dog again, this time without his 
coat and using a digital scale, we get a 
measurement of 55.02 ± 0.01 kg. 
This is more accurate AND more precise.
Random Errors 
• Random errors are due to imprecision of 
measurements and can lead to a reading above 
or below the “true” value. 
• Examples: 
– poor technique, different reaction times etc. 
• These can be reduced by the use of more precise 
measuring equipment or through repeat 
measurements.
Systematic errors 
• Systematic errors arise from a problem in the 
experimental set-up that results in the 
measured values always deviating from the 
“true” value in the same direction – always 
higher or lower. 
• These errors are caused by mis-calibrations or 
poor insulation
Absolute uncertainty 
• Absolute uncertainty is the uncertainty you get from a 
measurement. 
From the example earlier, the height of the chair was 
found to be 2504 ± 5 mm 
The absolute uncertainty is 5 mm 
- remember: some instruments give a predetermined 
uncertainty which you must use.
Fractional uncertainty 
• Fractional uncertainty is calculated by dividing 
the absolute uncertainty by the measured 
value 
From the example earlier, the height of the chair 
was found to be 2504 ± 5 mm 
The fractional uncertainty is 5/2504 = 0.002
Calculating Percent Uncertainty 
The % uncertainty is calculated by dividing 
the absolute uncertainty by the measured 
value and the multiplying by 100. 
퐴푏푠표푙푢푡푒 푢푛푐푒푟푡푎푖푛푡푦 
푚푒푎푠푢푟푒푑 푣푎푙푢푒 
× 100 = 푃푒푟푐푒푛푡 푈푛푐푒푟푡푎푖푛푡푦
Calculating Percent Uncertainty 
From the example earlier, the height of the chair 
was found to be 2504 ± 5 mm 
The percentage uncertainty is 
5/2504 x 100 = 0.20% 
Protocol states that 
uncertainties >2% 
are given to 1 
significant figure, 
and uncertainties 
≤2% are given to 2 
significant figures.
Calculating Percent Uncertainty 
Example: Your turn to try  
Measurement Absolute 
Uncertainty 
Percent Uncertainty 
Density 1.15 g/cm3 ±0.05 g/cm3 
Weight 59.67 g ±0.01 g 
0.05 g/cm3 
1.15 g/cm3 × 100 = 4% 
0.01 g 
59.67 g 
× 100 = 0.017 %
Note 
% Uncertainty is also 
known as Relative 
uncertainty
Error propagation 
• What about when we have to use the 
measurements to calculate other dimensions? 
• For example, a box measures: 
Absolute 
uncertainty 
What is the uncertainty if you calculate the: 
– Area of the box? 
– Volume of the box? 
– Perimeter of the box? 
% Uncertainty 
Length 2 m ± 0.5m 25% ≈ 30% 
Width 3 m ± 0.5m 17% ≈ 20% 
Height 4 m ± 0.5m 12.5% ≈ 10%
When Adding and Subtracting 
If the calculations involve adding or subtracting 
amounts with uncertainties, you add the 
absolute uncertainties. 
From the previous example, a box measures 
2 m ± 0.5m X 3 m ± 0.5m 
The perimeter will be 
(2+3+2+3) m ± (0.5+0.5+0.5+0.5) m = 10 m ± 2 m
When Multiplying and Dividing 
When two or more measurements are 
multiplied or divided, the percent uncertainties 
of each measurement are added.
Example: 
If we look at the box discussed before that has the 
following dimensions 
Absolute 
uncertainty 
% Uncertainty 
Length 2 m ± 0.5m 25% ≈ 30% 
Width 3 m ± 0.5m 17% ≈ 20% 
Height 4 m ± 0.5m 12.5% ≈ 10% 
The volume will be: 2 × 3 × 4 m ± 20 + 30 +
The more scientifically correct way of finding the 
uncertainty is: 
Δ푉 
푉 
= 
Δ퐿 
퐿 
+ 
Δ푊 
푊 
+ 
Δ퐻 
퐻 
× 100 
Δ푉 
푉 
= 
0.5 
2 
+ 
0.5 
3 
+ 
0.5 
4 
× 100 
Δ푉 
푉 
= 54.17% ≈ 50% 
This ensures fewer rounding errors and much 
greater accuracy.
When it is raised to a power 
For a number raised to a power, the rule is 
simply to multiply the % uncertainty by the 
power. 
Eg. Find the area of a square with sides 
5.3m±0.20% 
A = 5.32 ± 2 × 0.20% 
= 28.09 m ± 0.40%
Changing % uncertainty back into 
absolute uncertainty 
To change the % uncertainty into absolute uncertainty 
we: 
1. Change the % into a decimal by dividing by 100 
2. Multiply with the calculated value
If we look at the last example: 
A = 28.09 m ± 0.4% 
In this case the absolute uncertainty would be: 
Δ퐴 = 
0.4 
100 
× 28.09 = 0.112 
Which means that the area is 28.1 ± 0.1 m 
correct to one significant figure.

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Errors and uncertainties in physics

  • 2.
  • 3. Uncertainties Every measurement has uncertainty. Why? • The measuring device • Experimental technique • Nature of the measurement itself – For example the weight of a grain of sand
  • 4. Uncertainties in raw data • When using an analogue scale the uncertainty is given as ± half the smallest increment on the measuring device. . • i.e. In this example, the smallest measurement is units of 1, so the uncertainty would be ± 0.5
  • 5. Try the following 9.5 ±0.5 cm 8.5±0.25 = 8.5±0.3cm 11.9±0.1 cm
  • 6. NOTE • Uncertainty is always reported to 1 significant figure. • The number of decimal places that the uncertainty has must equal the number of decimal places the measurement has.
  • 8. • When using a digital scale, the uncertainty is ± 1 part of the smallest reading. • For example: In this picture, the smallest reading is to the first decimal place so the uncertainty would be ± 0.1 g
  • 9. When the instrument tells you what the uncertainty is
  • 10. Repeated Measurements • When you repeat the measurement many times. • Find the average of all the trials • Then: – Uncertainty = ±1/2 (Max – min)
  • 11. Repeat Measurements Example Ming measures the height of a chair 5 times. He gets the following results: 2500 mm, 2504 mm, 2509 mm, 2506 mm, and 2501 mm Average value = 2504 mm Uncertainty = (2509 – 2500)/2 = 4.5 mm Height of the chair = 2504 ± 5 mm This means the true height is between 2499 and 2509 mm
  • 12. Accuracy and Precision A dog is weighed multiple times using a digital scale. All the measurements were very similar and the weight was found to be: 55.25 ± 0.01 kg This is very precise. Precise means multiple measurements, same result
  • 13. Accuracy and Precision The dog was found to weigh 55.25 ± 0.01 kg. This is a precise result but not accurate The dog is still wearing its coat Accurate is how close a measurement is to the true value
  • 14. Accuracy and Precision If we weigh the dog again, this time without his coat but using a balance scale, we get a measurement of 55 ± 1 kg. This is more accurate but less precise.
  • 15. Accuracy and Precision If we weigh the dog again, this time without his coat and using a digital scale, we get a measurement of 55.02 ± 0.01 kg. This is more accurate AND more precise.
  • 16.
  • 17.
  • 18. Random Errors • Random errors are due to imprecision of measurements and can lead to a reading above or below the “true” value. • Examples: – poor technique, different reaction times etc. • These can be reduced by the use of more precise measuring equipment or through repeat measurements.
  • 19. Systematic errors • Systematic errors arise from a problem in the experimental set-up that results in the measured values always deviating from the “true” value in the same direction – always higher or lower. • These errors are caused by mis-calibrations or poor insulation
  • 20.
  • 21. Absolute uncertainty • Absolute uncertainty is the uncertainty you get from a measurement. From the example earlier, the height of the chair was found to be 2504 ± 5 mm The absolute uncertainty is 5 mm - remember: some instruments give a predetermined uncertainty which you must use.
  • 22. Fractional uncertainty • Fractional uncertainty is calculated by dividing the absolute uncertainty by the measured value From the example earlier, the height of the chair was found to be 2504 ± 5 mm The fractional uncertainty is 5/2504 = 0.002
  • 23. Calculating Percent Uncertainty The % uncertainty is calculated by dividing the absolute uncertainty by the measured value and the multiplying by 100. 퐴푏푠표푙푢푡푒 푢푛푐푒푟푡푎푖푛푡푦 푚푒푎푠푢푟푒푑 푣푎푙푢푒 × 100 = 푃푒푟푐푒푛푡 푈푛푐푒푟푡푎푖푛푡푦
  • 24. Calculating Percent Uncertainty From the example earlier, the height of the chair was found to be 2504 ± 5 mm The percentage uncertainty is 5/2504 x 100 = 0.20% Protocol states that uncertainties >2% are given to 1 significant figure, and uncertainties ≤2% are given to 2 significant figures.
  • 25. Calculating Percent Uncertainty Example: Your turn to try  Measurement Absolute Uncertainty Percent Uncertainty Density 1.15 g/cm3 ±0.05 g/cm3 Weight 59.67 g ±0.01 g 0.05 g/cm3 1.15 g/cm3 × 100 = 4% 0.01 g 59.67 g × 100 = 0.017 %
  • 26. Note % Uncertainty is also known as Relative uncertainty
  • 27. Error propagation • What about when we have to use the measurements to calculate other dimensions? • For example, a box measures: Absolute uncertainty What is the uncertainty if you calculate the: – Area of the box? – Volume of the box? – Perimeter of the box? % Uncertainty Length 2 m ± 0.5m 25% ≈ 30% Width 3 m ± 0.5m 17% ≈ 20% Height 4 m ± 0.5m 12.5% ≈ 10%
  • 28. When Adding and Subtracting If the calculations involve adding or subtracting amounts with uncertainties, you add the absolute uncertainties. From the previous example, a box measures 2 m ± 0.5m X 3 m ± 0.5m The perimeter will be (2+3+2+3) m ± (0.5+0.5+0.5+0.5) m = 10 m ± 2 m
  • 29. When Multiplying and Dividing When two or more measurements are multiplied or divided, the percent uncertainties of each measurement are added.
  • 30. Example: If we look at the box discussed before that has the following dimensions Absolute uncertainty % Uncertainty Length 2 m ± 0.5m 25% ≈ 30% Width 3 m ± 0.5m 17% ≈ 20% Height 4 m ± 0.5m 12.5% ≈ 10% The volume will be: 2 × 3 × 4 m ± 20 + 30 +
  • 31. The more scientifically correct way of finding the uncertainty is: Δ푉 푉 = Δ퐿 퐿 + Δ푊 푊 + Δ퐻 퐻 × 100 Δ푉 푉 = 0.5 2 + 0.5 3 + 0.5 4 × 100 Δ푉 푉 = 54.17% ≈ 50% This ensures fewer rounding errors and much greater accuracy.
  • 32. When it is raised to a power For a number raised to a power, the rule is simply to multiply the % uncertainty by the power. Eg. Find the area of a square with sides 5.3m±0.20% A = 5.32 ± 2 × 0.20% = 28.09 m ± 0.40%
  • 33. Changing % uncertainty back into absolute uncertainty To change the % uncertainty into absolute uncertainty we: 1. Change the % into a decimal by dividing by 100 2. Multiply with the calculated value
  • 34. If we look at the last example: A = 28.09 m ± 0.4% In this case the absolute uncertainty would be: Δ퐴 = 0.4 100 × 28.09 = 0.112 Which means that the area is 28.1 ± 0.1 m correct to one significant figure.