Errors and Uncertainties

In this tutorial, you will learn the following:

  • Difference between Mistakes and Errors
  • Measurement Errors
  • Random Errors
  • Systematic Errors
  • Accuracy
  • Precision
  • Absolute Uncertainty
  • Percentage Uncertainty
  • Combining Uncertainties

 

error handling

 

Errors and Mistakes

Suppose you are carrying out an experiment involving a simple pendulum inside a lab, while measuring the length of the pendulum and the time period. Just imagine that it's windy outside and you forgot to close a window properly in the vicinity, while inadvertently letting a mild draught in. Afterwards, someone points out the effect of draught on the experiment. In this case, you made a mistake.

Now, you make a decision to repeat the experiment while rectifying the mistake - by closing the window properly. So, mistakes are avoidable and can, in most cases, be rectified easily.

An error, on the other hand, is the difference between the real value and the experimental value. Errors stem from the faulty devices used in the experiments as well as flawed designs of the experiments. They are inevitable and all we can do is to keep them to a minimum.

In short, mistakes are not errors; there is a clear distinction between the two.

Measurement Errors

The true value is a value that you obtain from a data book or from an experiment in ideal conditions.It is certainly going to be different from a measured value. The difference between the true value and the measured value is a measurement error.

E.g.

 

measurement errors

 

In the above image, a smartphone manufacturer gives us the length, width and height of the phone. We take them for granted by assuming they are true values. However, if we measure them, say, with a Vernier calliper, the measured values may not be the same. So, the differences between the true values and measured values, in this case, constitute measurement errors.

There are two types of measurement errors:

  1. Random Errors
  2. Systematic Errors

Random Errors

Random errors occur when measurements are being made; as a result, the measurements may vary in unpredictable ways, which could result in a significant deviation from the true value.

E.g.

Let's say a resistor, bought from an electronic shop, shows that its resistance is 12Ω. If we measure it by a multimeter, it may show values such as 12.5, 13, 13.7 or even 14. The variation in measurements may be due to:

  1. The change in the temperature due to the current
  2. The difficulty in taking the measurement from the multimeter

Since the control of both factors are beyond us, it is clear that random errors cannot be corrected. All we can do is making more measurements and then finding the mean of them.

Systematic Errors

Systematic errors, by contrast, occur when measurements are being made and the error values may seem to be consistent during the period in which the experiment is carried out.

E.g.

A thermometer placed inside a hole of a warming iron block may not record the correct temperature due to the following:

  1. Poor contact between the thermometer bulb and the surface of iron.
  2. A fault in the the scale of the thermometer - without resting at 0C0, when placed in melting ice.

As you can see, unlike random errors, systematic errors can be corrected; in order to rectify the above errors, we can do the following:

  1. Filling the hole with mercury in order to make a good contact between the thermometer bulb and the iron block.
  2. Using a thermometer that has a reliable scale attached to it.

Precision and Accuracy

We may use the two terms casually; they, however, are not the same in the realm of physics.

Accuracy:

This is the closeness of the measured values to the true value.

Precision:

This is the closeness of the measured values to each other: the closer they are to each other, the more precise they are.

The following animation will help you distinguish between accuracy and precision.

 

accuracy and precision animation

 

 

Uncertainty in Measurement

The interval in which the true value lies is called the uncertainty in the measurement.

Absolute Uncertainty or ± value

The absolute uncertainty in the mean value of measurements is half the range of the measurements.

E.g.

Suppose the measurements of the diameter of a pin by a Vernier Calliper are as follows:

0.25mm; 0.24mm;0.26mm; 0.23mm;0.27mm;

The mean = (0.25 + 0.24 + 0.26 + 0.23 + 0.27)/5 =125/5 = 0.25mm

The range = 0.27 - 0.23 = 0.04mm

Absolute Uncertainty = ± 0.04/2 = ± 0.02

So, the mean value = mean ± range/2
= 25 ± 0.04/2
= 25 ± 0.02

Percentage Uncertainty

Percentage Uncertainty = (Absolute Uncertainty/Mean Value) x 100

E.g.

In the above example,
Percentage Uncertainty = (0.02/0.25)x 100 = 8%

Exceptions:

Sometimes, the multiple measurements that you take could be the same, leaving you with no variation or range. In other words, absolute uncertainty turns out to be 0! This situation can also arise when you have a single measurement. In such circumstances, the resolution of the device - the smallest measurement possible - comes to our rescue. The resolution is taken as the absolute uncertainty.

E.g.

  • If the device in question is a meter rule, the resolution, 1mm, is the absolute uncertainty.
  • If the device is a Vernier Calliper, the resolution, 0.01mm, is the absolute uncertainty.
  • If the device is a micrometer, the resolution, 0.01mm, is the absolute uncertainty.

If the single measurement by a Vernier Calliper is 23.2mm or every measurement is 23.2mm in a series of measurements, the length = 23.2 ± 0.01

Combining Uncertainties

Case 1

When you add or subtract quantities in an equation, absolute uncertainty of each value is added together.

E.g.

The length of a copper wire at 30C0 is 18.2 ± 0.04 cm and at 60C0 19.7 ± 0.02 cm. Find the absolute uncertainty and the extension of the wire.
Absolute uncertainty = 0.04 + 0.02 = 0.06
Extension of the wire = (19.7 - 18.2) ± 0.06
= 1.5 ± 0.06

Case 2

When you multiply or divide quantities in an equation, percentage uncertainty of each value is added together.

E.g.

The weight of an iron block is 8.0 ± 0.3 N and is placed on a wooden base of area, 3.5 ± 0.2 m2. Find the percentage uncertainties of the values and then calculate the pressure exerted by the block.

Percentage uncertainty in the weight = (0.3/8) x 100 = 3.75
Percentage uncertainty in the area = (0.2/3.5) x 100 = 5.71
% uncertainty = 3.75 + 5.71 = 9.46
Pressure = 8/3.5 = 2.3 Pa
Absolute uncertainty in the pressure = (9.46/100) x 2.3 = 0.22
Since both the weight and the area have been approximated to two significant figures, the final answer must take the same form:
Pressure = 2.3 ± 0.22 Pa

Case 3

When you raise a measurement to the power n, the percentage uncertainty is multiplied by n.

E.g.

Suppose the length of a cube is given as 5.7 ± 0.2 cm and you want to find the absolute uncertainty in the volume.
Volume = 5.73 = 190 (2 s.f.)
Since V = l3, Percentage uncertainty = 3 x (0.2/5.7) x 100 = 10.5
Absolute uncertainty in the volume = 190 ± 10.5 (2 s.f.).

 

 

 

 

Resources at Fingertips

This is a vast collection of tutorials, covering the syllabuses of GCSE, iGCSE, A-level and even at undergraduate level. They are organized according to these specific levels.
The most popular tutorial is the Book of Electricity, which comes at the top of Google search for electricity tutorials for GCSE / AS/ A-Level at present.
In addition, there are a few more which come at the top of Google search.They are all supported by an extensive collection of animations and interactive labs.

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