RuukkilabraUpper secondary physics
FY1 · Chapter 3

Measuring and the reliability of a measurement

Why do ten students get ten different results for the rolling time of the same ball, even though they all use the same stopwatch?

Prior knowledge

  • A measurement result is given as a numerical value and a unit, and significant figures tell how precise it ischapter Quantities, units and the SI system

Core path: follow the steps in order. Tasks marked Optional give extra practice. Optional tasks: 2.

Think about it

In a physics lesson the class measures the time a ball takes to roll from the top of a ramp to the bottom. Everyone has a similar hand stopwatch and presses it with their own hand. Still, the results are $2.18\,\text{s}$, $2.45\,\text{s}$, $2.68\,\text{s}$, $2.67\,\text{s}$, $2.40\,\text{s}$ and so on. The teacher says that the true time of the ball exists, but does not tell it.

How can the class get a reliable result from these, and how can they know that the stopwatch is not wrong in the same way for everyone?

Revise significant figures

The stopwatch shows the rolling time of the ball as $2.40\,\text{s}$. What does the last zero tell you?

Predict

Make your predictions before investigating 2 questions

Prediction 1: repeats and the mean

The rolling time of the ball is measured with a hand stopwatch. The stopwatch is otherwise flawless, but every measurement has a random error. The measurement is repeated 40 times and the mean is calculated.How does the mean compare with the true time as there are more and more measurements?

Prediction 2: the stopwatch is wrong

The stopwatch has a systematic error: it shows $0.30\,\text{s}$ too much in every measurement. In addition, the measurements have a random error. The measurement is repeated 40 times and the mean is calculated.Where does the mean settle as there are more and more measurements?

Investigate

The ball rolls down the ramp, and the hand stopwatch gives a reading every time. The points pile up on the time axis, and you see the mean and the true time. With the sliders you choose the number of repeats and the size of the two errors.

Simulation

How to use

Press Start and the measurements are made one at a time. You can also drag the Repetitions slider to see the first $n$ results of the same series. Random error tells how much the results fluctuate, and Systematic error how much the stopwatch shows too much (plus) or too little (minus) every time. The orange point is the latest reading, the green dashed line is the true time and the black line is the mean.

Assumptions of the model

The values are model values calculated by the simulation, not measurements of a real experiment. The true rolling time of the ball is $T = 2.40\,\text{s}$. The model knows it, but in a real experiment it is not known. A reading is $t_i = T + \Delta t_\text{sys} + \Delta t_\text{ran}\,g_i$ rounded to hundredths of a second, where $g_i$ is a fixed series of random numbers. The same series always starts from the beginning, so the experiment can be repeated. The number $\Delta t_\text{ran}$ is the typical deviation of a single reading; half of the range of many readings is larger than it.

How the calculation works

The mean $\bar{t}$ is the sum of the first $n$ readings divided by $n$. Half of the range is $\Delta t = \dfrac{t_\text{max} - t_\text{min}}{2}$. The difference of the mean from the true time is $\bar{t} - T$, and you can see it only in the model, because the true time is not usually known.

Experiment 1: random error and the mean

Test prediction 1. The initial state sets the random error to $0.15\,\text{s}$ and the systematic error to zero. Drag the Repetitions slider and record a measurement when $n = 1$, $n = 5$ and $n = 40$. Look at what happens to the mean and the range.

Initial state: repetitions $n$ = $1$, random error = $0{.}15\,\text{s}$, systematic error = $0\,\text{s}$. Kept constant: random error, systematic error. Varied: repetitions $n$.

Simulation readings
repetitions $n$mean $(\text{s})$half of the range $(\text{s})$difference from true $(\text{s})$

What does the table show as $n$ grows?

Experiment 2: a systematic error does not cancel

Test prediction 2. The initial state sets the random error to $0.15\,\text{s}$ and the systematic error to $+0.30\,\text{s}$. Record a measurement when $n = 1$, $n = 10$ and $n = 40$. The true time is $T = 2.40\,\text{s}$, which the model knows but which would not be known in a real experiment.

Initial state: repetitions $n$ = $1$, random error = $0{.}15\,\text{s}$, systematic error = $0{.}3\,\text{s}$. Kept constant: random error, systematic error. Varied: repetitions $n$.

Simulation readings
repetitions $n$mean $(\text{s})$

Read the row $n = 40$ from the table and calculate the difference between the mean and the true time $T = 2.40\,\text{s}$. Answer in seconds.

s
Hint 1: a guiding question

A measurement error is the difference between the result and the true value. Here the result is the mean.

Hint 2: what is the connection

The difference is $\bar{t} - T$, where $\bar{t}$ is the mean of the row $n = 40$.

Hint 3: an intermediate step

If the mean is $2.70\,\text{s}$, the difference is $2.70\,\text{s} - 2.40\,\text{s}$.

Show the solution

Given

the mean of the row $n = 40$ from the table $\bar{t} = 2.70\,\text{s}$ (model value) and the true time $T = 2.40\,\text{s}$

Find

the difference between the mean and the true time, that is, the measurement error $\bar{t} - T$ in the unit $\text{s}$

Principle

A measurement error is the difference between the result and the true value. The random part has already almost cancelled in the mean of 40 repeats, so the remaining difference tells the systematic error.

Formula

difference $\bar{t} - T$

Conversions

Both times are in seconds, so no conversions are needed.

Substitution

$\bar{t} - T$$= 2.70\,\text{s} - 2.40\,\text{s}$
$= 0.30\,\text{s}$

Answer

$0.30\,\text{s}$

Two significant figures like the mean in the table. The difference is the same as the set systematic error $+0.30\,\text{s}$.

Reasonableness

The difference is positive, because the stopwatch shows too much. It is almost exactly the set $0.30\,\text{s}$, so 40 repeats damped the random part but did not remove the systematic error.

Optional Experiment 3: the size of the random error

Find out how the spread of the results depends on the size of the random error. The initial state sets $n = 40$ and the systematic error to zero. Record a measurement when the random error is $0.05\,\text{s}$, $0.15\,\text{s}$ and $0.30\,\text{s}$.

Initial state: repetitions $n$ = $40$, random error = $0{.}05\,\text{s}$, systematic error = $0\,\text{s}$. Kept constant: repetitions $n$, systematic error. Varied: random error.

Simulation readings
random errorhalf of the range $(\text{s})$mean $(\text{s})$

How many times larger is half of the range when the random error is $0.30\,\text{s}$ than when it is $0.05\,\text{s}$?

times
Hint 1: a guiding question

Read from the table half of the range for both values of random error.

Hint 2: what is the connection

The ratio is obtained by dividing half of the range for the larger random error by half of the range for the smaller random error.

Hint 3: an intermediate step

From the rows $\dfrac{0.525\,\text{s}}{0.0850\,\text{s}}$.

Show the solution

Given

from the table, halves of the range $\Delta t_1 = 0.0850\,\text{s}$ (random error $0.05\,\text{s}$) and $\Delta t_2 = 0.525\,\text{s}$ (random error $0.30\,\text{s}$), model values

Find

the ratio $k = \dfrac{\Delta t_2}{\Delta t_1}$

Principle

The larger the random error, the more the results scatter and the larger half of the range is. The scatter is directly proportional to the size of the random error, so the ratio should be close to the ratio of the random errors.

Formula

$k = \dfrac{\Delta t_2}{\Delta t_1}$

Conversions

Both are in seconds and in the ratio the units cancel, so no conversions are needed.

Substitution

$k$$= \dfrac{0.525\,\text{s}}{0.0850\,\text{s}}$
$= 6.2$

Answer

$6.2$

Times. Two significant figures are enough: the readings are rounded to hundredths of a second, so the smaller half of the range $0.0850\,\text{s}$ is uncertain already in its second figure, although the table shows three.

Reasonableness

The ratio of the random errors is $\dfrac{0.30}{0.05} = 6$, and the obtained $6.2$ is close to it. The small difference is due to the readings of the model being rounded to hundredths of a second.

Data: a thermometer in ice water

Simulated example data

A student checks a thermometer by immersing it in a mixture of melting ice and water, whose temperature is $0\,{}^\circ\text{C}$. She reads the thermometer eight times (example data, not a real experiment).

Reading number 1 2 3 4 5 6 7 8
Reading (${}^\circ\text{C}$) 1.4 1.6 1.5 1.5 1.6 1.4 1.5 1.5

The mean of the readings is $1.5\,{}^\circ\text{C}$ and half of the range is $0.1\,{}^\circ\text{C}$.

What kind of error does the data show?

Conclusion from the experiments

Write on the basis of experiments 1 and 2 and the thermometer data: what does taking the mean correct, what does it not correct, and how can a systematic error be noticed? Justify with the model values and the data.

Theory summary

Key idea

A measurement means determining the value of a quantity by comparing it with a unit. A measurement result is a numerical value and a unit, for example $2.43\,\text{s}$. The result usually differs a little from the true value of the quantity, because reading the instrument, the method of measuring and the conditions all add a deviation to it. The difference $x - x_\text{true}$ between the result and the true value is the measurement error. Every measurement result has some uncertainty, even one made by a skilled measurer. The true value is usually not known, so neither is the measurement error or its size. Therefore in physics we estimate how large the error can be, and this estimate, the measurement uncertainty, is stated together with the result.

Errors are divided into three kinds: gross error, random error and systematic error. You can tell them apart by how they behave when the measurement is repeated.

Hands holding a metal vernier caliper with a small object between its jaws. There are tools on the table.
With a vernier caliper a length can be read to a fraction of a millimetre. The precision of the measuring instrument is one source of uncertainty in a measurement result. Photo: Antoni Shkraba, Pexels License

Gross error

A gross error is a single clear mistake: the instrument is read wrongly, a number is recorded wrongly (for example $3.52\,\text{s}$ instead of $3.25\,\text{s}$), the stopwatch is accidentally started only once the ball is already moving, or the result is recorded in the wrong unit. It usually shows up as a result that differs clearly from the others. A gross error is not estimated or averaged but looked for: the odd result is checked, and the measurement can be repeated if necessary. A result is not removed merely because it differs from the others: it is left out of the calculations only if the cause of the error is found, and leaving it out is justified and recorded.

Random error

A random error varies from one measurement to the next by chance and can be in either direction. When the rolling time of a ball is measured with a hand stopwatch, it comes from reaction time: sometimes the stopwatch is started a little too early and sometimes too late. Reading a scale between two marks also brings random error. It shows up as scatter: a slightly different number is obtained for the same quantity each time. Repeating the measurement makes the scatter visible, and in the mean the effect of random error is damped, although the scatter of the individual results does not get smaller: results that are too large and too small partly cancel each other.

Systematic error

A systematic error is almost the same in direction and size in every measurement. It comes, for example, from a wrong zero (a scale shows $1.2\,\text{g}$ when empty), from a badly adjusted instrument, or from the way of measuring, such as looking at a scale from the side. All results shift in the same direction, so they can be in a tight group but in the wrong place. Repeating and the mean do not remove it. It is noticed by comparing the result with a known reference value or with another method of measurement, and then it is corrected.

$\text{Random error: the results scatter}$
$2.2$
$2.3$
$2.4$
$2.5$
$2.6$
$2.7$
$2.8$
$t\ (\text{s})$
$\text{true value}$
$\text{mean}$
$\text{Systematic error: the results shift}$
$2.2$
$2.3$
$2.4$
$2.5$
$2.6$
$2.7$
$2.8$
$t\ (\text{s})$
$\text{true value}$
$\text{mean}$
$\Delta t_\text{sys}$

Repeatability and accuracy

The reliability of a measurement is described by two things. Repeatability tells how close to each other repeated measurements land, and it is weakened by random error. Accuracy tells how close the mean is to the true value, and it is weakened by systematic error. A measurement can be repeatable but not accurate, like the lower series in the figure. A reliable measurement has both.

A desert landscape where a long concrete tube leads to a large blue and white building. On the right another long low tube runs to the horizon.
The LIGO gravitational-wave detector at Hanford, USA. Its arms, kilometres long, detect changes in length far smaller than an atomic nucleus. Photo: NOIRLab/LIGO/NSF/AURA/T. Matsopoulos, CC BY 4.0

Mean and error estimate

The best estimate of a repeated measurement is the mean of the results:

$$\bar{x} = \frac{x_1 + x_2 + \dots + x_n}{n}$$

where $\bar{x}$ is the mean, $x_1, x_2, \dots, x_n$ are the individual measurement results and $n$ is the number of measurements. The mean adds up the results and divides the sum by the number, so the more measurements there are, the less a single stray result affects it.

In this course the scatter of repeated results, that is, the size of random error, is estimated with a simple approximate method, as half of the range:

$$\Delta x = \frac{x_\text{max} - x_\text{min}}{2}$$

where $\Delta x$ is the error estimate, $x_\text{max}$ is the largest and $x_\text{min}$ the smallest result. The error estimate, or measurement uncertainty, is not the measurement error itself, which is not known, but an estimate of how large the measurement error can be; it is always positive. The result is stated in the form $\bar{x} \pm \Delta x$. The error estimate is a rough estimate, not a strict limit: a single result can sometimes fall outside it. Half of the range describes the scatter of the individual results. The uncertainty of the mean is usually smaller, and the more measurements there are, the smaller it is, so for the mean $\Delta x$ is a cautious estimate. The method suits the measurements of this course with a few repeats; more exact methods are based on statistical scatter.

$t_\text{max} - t_\text{min}$
$t$
$t_\text{min}$
$t_\text{max}$
$\bar{t}$
$\bar{t} - \Delta t$
$\bar{t} + \Delta t$
$\Delta t = \dfrac{t_\text{max} - t_\text{min}}{2}$

Half of the range is a simple estimate of the scatter of the results, not a general method for finding the measurement uncertainty. It does not reveal a systematic error, which shifts all results in the same direction. If all the results are the same, no scatter shows, but the uncertainty is still not zero: then the reading uncertainty is estimated, as below.

The error estimate is rounded to one significant figure, or to two if the first figure is 1. The result is rounded to the same decimal place: $3.18 \pm 0.12\,\text{s}$ and not $3.1817 \pm 0.12\,\text{s}$. This way the result has no figures that the error already blurs.

When the measurement is made only once and the value is read from a scale, in a simple situation the uncertainty of the reading can be estimated, for example, as half of the smallest scale division $d$:

$$\Delta x = \frac{d}{2}$$

With a ruler whose smallest scale division is $1.0\,\text{mm}$, the uncertainty of the reading can thus be estimated as $0.5\,\text{mm}$. However, the total uncertainty of a measurement can also be affected by the method of measurement, the instrument and other sources of error. The smallest scale division, or the step of the last figure of a display, is the resolution of the instrument, and it alone does not give the uncertainty: a stopwatch shows hundredths of a second, but the uncertainty of a time taken by hand is, because of reaction time, of the order of tenths of a second.

The ratio of the error estimate, that is, the measurement uncertainty, to the result is called the relative uncertainty:

$$\varepsilon = \frac{\Delta x}{\bar{x}} \cdot 100\,\%$$

where $\varepsilon$ is the relative uncertainty as a percentage. It tells whether the uncertainty is small or large compared with the size of the result: an uncertainty of $0.5\,\text{mm}$ is small for measuring a metre but large for a wire one millimetre thick.

A systematic error is estimated by measuring a quantity whose true value is known and comparing with the mean. The known value can be, for example, an empty scale, $0\,{}^\circ\text{C}$ in ice water or a rod of precisely known length:

$$\Delta x_\text{sys} = \bar{x}_\text{ref} - x_\text{true}$$

where $\bar{x}_\text{ref}$ is the mean of the reference measurements and $x_\text{true}$ is the true value of the reference quantity. The corrected result is obtained by subtracting the error from the reading:

$$x = x_\text{reading} - \Delta x_\text{sys}$$

$1.2\,\text{g}$
$48.7\,\text{g}$
$\text{empty: } m_0$
$\text{reading } m_\text{reading}$
$\text{systematic error: wrong zero}$
$m = m_\text{reading} - m_0$

Common misconception

Many people think that a precise instrument or many repeats guarantee a correct result. Repeats reduce random error but not systematic error, and good repeatability tells nothing about accuracy. Another misconception is to regard all error as carelessness. Carelessness causes a gross error, which is looked for and left out only for a justified and recorded reason, but random and systematic error belong to the result of a skilled measurer too, and that is why they are estimated and stated. A third is to calculate a mean of numbers that are in different units: the results are converted to the same unit first.

Summary

  • A measurement error is the difference between the result and the true value, $x - x_\text{true}$. Every measurement result has some uncertainty. The error is usually not known, but its possible size is estimated as the measurement uncertainty and stated together with the result.
  • A gross error is a single mistake, such as a wrongly read or recorded reading. It often shows up as a result that clearly differs from the others, which is checked; the result is left out only if the cause of the error is found, and the cause is recorded.
  • A random error varies from one measurement to the next and shows up as scatter. In the mean $\bar{x}$ the effect of random error is damped, although the scatter of the individual results does not get smaller. In this course the scatter is estimated approximately by half of the range $\Delta x$, which is a cautious uncertainty estimate for the mean.
  • A systematic error shifts all results in the same direction, and repeating does not remove it. It is noticed with a reference value and corrected: $x = x_\text{reading} - \Delta x_\text{sys}$.
  • Repeatability tells about random error and accuracy about systematic error. A reliable measurement is both repeatable and accurate.
  • The result is stated in the form $\bar{x} \pm \Delta x$ with its unit. The error estimate is rounded to one significant figure (two if the first figure is 1), and the result to the same decimal place.

Return to your predictions

Compare your predictions with experiments 1 and 2. What does repeating correct and what does it not? Also return to the class at the beginning: how could they get a reliable result for the time of the ball, and how could they notice that the stopwatch is wrong for everyone?

    Would you change your prediction?

    Apply

    Worked example

    Problem

    A student measures the rolling time of a ball on a ramp with a hand stopwatch six times and gets the results $3.12\,\text{s}$, $3.25\,\text{s}$, $3.07\,\text{s}$, $3.31\,\text{s}$, $3.19\,\text{s}$ and $3.15\,\text{s}$. What is the measurement result with its error estimate, and how large is the relative uncertainty?

    $3$
    $3.1$
    $3.2$
    $3.3$
    $3.4$
    $t\ (\text{s})$
    $\bar{t} = 3.18\,\text{s}$
    $t = 3.18\,\text{s} \pm 0.12\,\text{s}$

    Step 1/7

    Given and find. The number of measurements is $n = 6$, and the smallest result is $t_\text{min} = 3.07\,\text{s}$ and the largest $t_\text{max} = 3.31\,\text{s}$. The mean $\bar{t}$, the error estimate $\Delta t$ and the relative uncertainty $\varepsilon$ are asked for.

    Step 2/7

    Principle. Hand timing has a random error, because reaction time varies. So the mean is taken as the result and half of the range as the error estimate. The relative uncertainty compares the error estimate with the result.

    Step 3/7

    Rearranged formula. $$\begin{aligned} \bar{t} &= \frac{t_1 + t_2 + \dots + t_n}{n} \\ \Delta t &= \frac{t_\text{max} - t_\text{min}}{2} \\ \varepsilon &= \frac{\Delta t}{\bar{t}} \cdot 100\,\% \end{aligned}$$

    Step 4/7

    Unit conversions. None needed: all times are in seconds, and the relative uncertainty is a number without a unit, which is multiplied by a hundred to get percent.

    Step 5/7

    Substitution. The sum of the results is

    $3.12\,\text{s} + 3.25\,\text{s} + 3.07\,\text{s} + 3.31\,\text{s} + 3.19\,\text{s} + 3.15\,\text{s}$
    $= 19.09\,\text{s}$

    Substitute it and the other numerical values with their units:

    $$\begin{aligned} \bar{t} &= \frac{t_1 + t_2 + \dots + t_n}{n} \\ &= \frac{19.09\,\text{s}}{6} \\ &= 3.1817\,\text{s} \\[4pt] \Delta t &= \frac{t_\text{max} - t_\text{min}}{2} \\ &= \frac{3.31\,\text{s} - 3.07\,\text{s}}{2} \\ &= 0.12\,\text{s} \\[4pt] \varepsilon &= \frac{\Delta t}{\bar{t}} \cdot 100\,\% \\ &= \frac{0.12\,\text{s}}{3.1817\,\text{s}} \cdot 100\,\% \\ &= 3.8\,\% \end{aligned}$$

    Step 6/7

    Result. The error estimate $0.12\,\text{s}$ is a number with two figures, because its first figure is 1. The mean is rounded to the same decimal place, so the measurement result is $t = 3.18\,\text{s} \pm 0.12\,\text{s}$. The relative uncertainty is $3.8\,\%$, two significant figures like the error estimate.

    Step 7/7

    Reasonableness. The interval $3.18\,\text{s} \pm 0.12\,\text{s}$, that is, $3.06\,\text{s}$–$3.30\,\text{s}$, covers five of the six results. The result $3.31\,\text{s}$ falls just outside it, which fits the fact that the error estimate is rough. The relative uncertainty is a few percent, which is usual for a hand-timed measurement. However, the repeats tell only about random error: a systematic error would be revealed only by comparison with another method of measurement.

    Gross error

    A student measures the rolling time of a ball six times with a hand stopwatch and gets the results $3.12\,\text{s}$, $3.25\,\text{s}$, $3.07\,\text{s}$, $4.31\,\text{s}$, $3.19\,\text{s}$ and $3.15\,\text{s}$.What should she do before calculating the mean?
    Optional Find the error
    A student's ruler has a worn zero end, so all readings are about $0.4\,\text{cm}$ too large. She measures the length of a glass tube ten times and calculates the mean. She reasons: ten measurements cancel the errors, so the result is certainly correct.Where is the mistake?

    Apply to a new situation

    A kitchen scale shows $0.8\,\text{g}$ when empty. A student weighs five similar coins together five times and gets the readings $27.9\,\text{g}$, $28.1\,\text{g}$, $28.0\,\text{g}$, $27.8\,\text{g}$ and $28.2\,\text{g}$.

    What is the mass of one coin? Answer in grams.

    g
    Hint 1: a guiding question

    Which kind of error is the zero reading of the scale and which kind is the variation of the readings? Each is handled differently.

    Hint 2: what is the connection

    First calculate the mean of the readings, then correct the zero by subtracting the zero reading, and finally divide by the number of coins.

    Hint 3: an intermediate step

    The sum of the readings is $27.9 + 28.1 + 28.0 + 27.8 + 28.2$ grams. The mean $\bar{m}$ is the sum divided by five, and the mass of one coin is $\dfrac{\bar{m} - 0.8\,\text{g}}{5}$.

    Show the solution

    Given

    zero reading of the scale $m_0 = 0.8\,\text{g}$; readings $27.9\,\text{g}$, $28.1\,\text{g}$, $28.0\,\text{g}$, $27.8\,\text{g}$ and $28.2\,\text{g}$; number of coins $N = 5$

    Find

    the mass of one coin $m_\text{coin}$ in the unit $\text{g}$

    Principle

    The variation of the readings is random error, which the mean damps. The zero reading $0.8\,\text{g}$ is a systematic error, which is in every reading and so in the mean, so it has to be subtracted. The total mass of five coins is finally divided by five.

    Formula

    $\bar{m}$$= \dfrac{m_1 + m_2 + m_3 + m_4 + m_5}{5}$
    $m_\text{coin}$$= \dfrac{\bar{m} - m_0}{N}$

    Conversions

    All masses are in grams, so no conversions are needed.

    Substitution

    The sum is

    $27.9\,\text{g} + 28.1\,\text{g} + 28.0\,\text{g} + 27.8\,\text{g} + 28.2\,\text{g}$
    $= 140.0\,\text{g}$

    so

    $\bar{m}$$= \dfrac{140.0\,\text{g}}{5}$
    $= 28.0\,\text{g}$
    $m_\text{coin}$$= \dfrac{28.0\,\text{g} - 0.8\,\text{g}}{5}$
    $= \dfrac{27.2\,\text{g}}{5}$
    $= 5.44\,\text{g}$

    Answer

    $5.44\,\text{g}$

    Three significant figures: the difference $27.2\,\text{g}$ is known to three figures, and division by $5$ is exact.

    Reasonableness

    Estimate: $28\,\text{g} : 5 \approx 5.6\,\text{g}$, and the correction reduces the mass by $0.8\,\text{g} : 5 = 0.16\,\text{g}$, so $5.6\,\text{g} - 0.16\,\text{g} \approx 5.44\,\text{g}$. The mass of a coin is of the order of a few grams, as with small coins, and the corrected mass is smaller than the reading, because the scale showed too much.

    Check your understanding

    Exit ticket

    Answer on your own first and only then open the answer.

    1. The scale shows $0.5\,\text{g}$ when empty. The mean of ten weighings of an object is $20.4\,\text{g}$, and the readings vary only between $20.3\,\text{g}$ and $20.5\,\text{g}$. Which error dominates and what is the mass of the object?
      Answer

      Systematic error dominates: the readings are close to each other, so random error is small ($\Delta m = 0.1\,\text{g}$), but the zero reading $0.5\,\text{g}$ is in every reading. The mass is

      $m$$= 20.4\,\text{g} - 0.5\,\text{g}$
      $= 19.9\,\text{g}$
    2. Why does taking the mean reduce random error but not systematic error?
      Answer

      Random error pushes in a different direction each time, so results that are too large and too small partly cancel each other in the mean. A systematic error is in the same direction in every measurement, so it is just as large in the mean too.

    3. A measurement result is $t = 4.52\,\text{s} \pm 0.09\,\text{s}$. Calculate the relative uncertainty as a percentage.
      Answer
      $\varepsilon$$= \dfrac{\Delta t}{\bar{t}} \cdot 100\,\%$
      $= \dfrac{0.09\,\text{s}}{4.52\,\text{s}} \cdot 100\,\%$
      $\approx 2\,\%$

      one significant figure like the error estimate $0.09\,\text{s}$.

    1. Concept

    The same quantity is measured ten times with an instrument. All readings are very close to each other, but all are clearly larger than the known reference value.What can you conclude?

    Suggestion: one answer does not show everything you can do, but review the theory summary and do the core exercises.

    2. Resolution and uncertainty

    A student times the rolling of a ball by hand with a stopwatch that shows hundredths of a second. The stopwatch stops at a reading of $2.47\,\text{s}$.What is the most reasonable estimate of the uncertainty of this single time?

    Suggestion: one answer does not show everything you can do, but review the theory summary and do the core exercises.

    3. Calculation

    The rolling time of a ball is measured five times and the results are $2.36\,\text{s}$, $2.41\,\text{s}$, $2.38\,\text{s}$, $2.46\,\text{s}$ and $2.39\,\text{s}$. The error estimate is half of the range.

    What percentage of the mean is it?

    %
    Hint 1: a guiding question

    First calculate the mean and half of the range.

    Hint 2: what is the connection

    The relative uncertainty is

    $\varepsilon$$= \dfrac{\Delta t}{\bar{t}} \cdot 100\,\%$
    Hint 3: an intermediate step

    The mean is $2.40\,\text{s}$ and half of the range is $\dfrac{2.46\,\text{s} - 2.36\,\text{s}}{2}$.

    Show the solution

    Given

    $t = 2.36\,\text{s}$, $2.41\,\text{s}$, $2.38\,\text{s}$, $2.46\,\text{s}$ and $2.39\,\text{s}$; $n = 5$, $t_\text{min} = 2.36\,\text{s}$, $t_\text{max} = 2.46\,\text{s}$

    Find

    the relative uncertainty $\varepsilon$ as a percentage

    Principle

    The estimate of random error is half of the range, and the relative uncertainty compares it with the result, which is the mean. The ratio has no unit, and you get percent by multiplying by a hundred.

    Formula

    $\bar{t}$$= \dfrac{t_1 + \dots + t_5}{n}$
    $\Delta t$$= \dfrac{t_\text{max} - t_\text{min}}{2}$
    $\varepsilon$$= \dfrac{\Delta t}{\bar{t}} \cdot 100\,\%$

    Conversions

    All times are in seconds, so no conversions are needed. The ratio is multiplied by a hundred to get percent.

    Substitution

    $\bar{t}$$= \dfrac{12.00\,\text{s}}{5}$
    $= 2.40\,\text{s}$
    $\Delta t$$= \dfrac{2.46\,\text{s} - 2.36\,\text{s}}{2}$
    $= 0.05\,\text{s}$
    $\varepsilon$$= \dfrac{0.05\,\text{s}}{2.40\,\text{s}} \cdot 100\,\%$
    $= 2.1\,\%$

    Answer

    $2\,\%$

    One significant figure like the error estimate $0.05\,\text{s}$ (calculator value $2.08\,\%$).

    Reasonableness

    Estimate: $0.05\,\text{s}$ is about $\tfrac{1}{50}$ of the time $2.4\,\text{s}$, that is, about $2\,\%$. For a hand-timed measurement a random error of a few percent is usual.

    Suggestion: one answer does not show everything you can do, but review the theory summary and do the core exercises.

    4. Explain

    Explain in your own words how you tell random and systematic error apart, what repeating does to them, and what repeatability and accuracy mean.

    Review the chapter's concepts

    Cards you mark Review later collect in your review deck.

    Quantity
    A measurable property, such as length, mass or time.
    Unit
    An agreed reference value in which a measured property is expressed.
    Measurement result
    The value of a quantity, made up of a number and a unit.
    Measurement error
    The difference between a measured value and the true value of the quantity.
    Random error
    A varying deviation whose effect can be reduced by repeating the measurement and taking the mean.
    Systematic error
    A deviation always in the same direction, caused for example by a faulty instrument or method.
    Gross error
    An obvious deviation caused for example by a misreading, a wrong entry or misuse of an instrument.
    Significant figures
    The digits of a number that show the precision available in a measurement result.
    Resolution of an instrument
    How small a change a measuring instrument can reliably detect.

    All cards of the module →

    Exercises

    Level 1 · basic practice 8 exercises

    One formula or one step of reasoning. Core exercises first, the rest is extra practice.

    1. Exercise 3-1Core

      A small ball's falling time is measured four times and the results are $0.52\,\text{s}$, $0.48\,\text{s}$, $0.55\,\text{s}$ and $0.49\,\text{s}$. What is the mean of the series?

      s
      Answer

      $0.51\,\text{s}$

      Show the solution

      Given

      $t_1 = 0.52\,\text{s}$, $t_2 = 0.48\,\text{s}$, $t_3 = 0.55\,\text{s}$, $t_4 = 0.49\,\text{s}$; the number of measurements is $n = 4$

      Find

      the mean of the series $\bar{t}$ in the unit $\text{s}$

      Principle

      Every measurement has a random error, which throws the result in one direction or another. When the results are added up and the sum is divided by the number of measurements, the deviations partly cancel each other. So the mean is a better estimate than a single result.

      Formula

      $\bar{t}$$= \dfrac{t_1 + t_2 + t_3 + t_4}{n}$

      Conversions

      All times are in seconds, so there is no need to convert units.

      Substitution

      The sum is

      $0.52\,\text{s} + 0.48\,\text{s} + 0.55\,\text{s} + 0.49\,\text{s}$
      $= 2.04\,\text{s}$

      so

      $\bar{t}$$= \dfrac{2.04\,\text{s}}{4}$
      $= 0.51\,\text{s}$

      Answer

      $0.51\,\text{s}$

      Two significant figures like the measurement results (the divisor $4$ is an exact count).

      Reasonableness

      The mean must be between the smallest result $0.48\,\text{s}$ and the largest result $0.55\,\text{s}$, and $0.51\,\text{s}$ is. Check backwards: $4 \cdot 0.51\,\text{s} = 2.04\,\text{s}$ is the sum of the results.

    2. Exercise 3-2Core

      The length of a reference piece is known exactly: it is $20.0\,\text{cm}$. A tape measure gives the length of the piece as $20.3\,\text{cm}$.

      What is the measurement error with its sign?

      cm
      Answer

      $0.3\,\text{cm}$

      Show the solution

      Given

      true value (reference length) $x_\text{true} = 20.0\,\text{cm}$, measurement result $x = 20.3\,\text{cm}$

      Find

      the measurement error $x - x_\text{true}$ with its sign in the unit $\text{cm}$

      Principle

      The measurement error is the difference between the measurement result and the true value. The sign tells the direction: plus means that the result is too large, and minus that it is too small.

      Formula

      The measurement error is the difference between the result and the true value: $\text{measurement error} = x - x_\text{true}$

      Conversions

      Both lengths are in centimetres, so no conversions are needed.

      Substitution

      $x - x_\text{true}$$= 20.3\,\text{cm} - 20.0\,\text{cm}$
      $= +0.3\,\text{cm}$

      Answer

      $0.3\,\text{cm}$

      That is, the result is too large. The difference is known only to one decimal place, because both lengths are given with one decimal place.

      Reasonableness

      The result $20.3\,\text{cm}$ is larger than the true value $20.0\,\text{cm}$, so the error must be positive. Relative to the length the error is

      $\dfrac{0.3\,\text{cm}}{20.0\,\text{cm}}$$\approx 1.5\,\%$

      which is a large error for a tape measure (a tape is usually accurate to about a millimetre), so the cause is probably systematic, for example a worn start of the tape or a wrong zero.

    3. Exercise 3-3

      The time of ten swings of a pendulum is measured five times with a hand stopwatch. Each result is marked as a dot on the time axis in the picture. Read the smallest and the largest result from the picture.

      What is half of the range of the results?

      $12$
      $12.2$
      $12.4$
      $12.6$
      $12.8$
      $13$
      $t\ (\text{s})$
      s
      Answer

      $0.35\,\text{s}$

      Show the solution

      Given

      the five results of the figure on the time axis; the smallest result $t_\text{min} = 12.2\,\text{s}$ and the largest $t_\text{max} = 12.9\,\text{s}$

      Find

      half of the range $\Delta t$ in the unit $\text{s}$

      Principle

      The scatter of the results tells the size of the random error. The simplest estimate is half of the range, that is, half of the difference between the largest and the smallest result, because a single result can deviate from the middle in either direction. Only the two extremes determine the range, so the other points are not needed.

      Reading the graph

      The vertical lines of the axis are $0.1\,\text{s}$ apart and the numbers $0.2\,\text{s}$ apart. The leftmost point is on the line $12.2\,\text{s}$, so $t_\text{min} = 12.2\,\text{s}$. The rightmost point is on the line that is one interval to the right of the number $12.8$, so $t_\text{max} = 12.9\,\text{s}$. The other points are at $12.4\,\text{s}$, $12.6\,\text{s}$ and $12.7\,\text{s}$.

      Formula

      $\Delta t$$= \dfrac{t_\text{max} - t_\text{min}}{2}$

      Conversions

      All times are in seconds, so no conversions are needed.

      Substitution

      $\Delta t$$= \dfrac{12.9\,\text{s} - 12.2\,\text{s}}{2}$
      $= \dfrac{0.7\,\text{s}}{2}$
      $= 0.35\,\text{s}$

      Answer

      $0.35\,\text{s}$

      Is exactly half of the range. The uncertainty is stated with one significant figure, so in a report it is $0.4\,\text{s}$. Both answers are accepted.

      Reasonableness

      In the figure the extreme points are seven squares apart, that is, $0.7\,\text{s}$, and half of it is smaller than the range, as it should be. The middle of the range is $12.55\,\text{s}$, and $12.55\,\text{s} \pm 0.35\,\text{s}$ gives exactly the interval $12.2\,\text{s}$–$12.9\,\text{s}$, onto which all the points fall.

    4. Exercise 3-4

      A kitchen scale shows a reading of $1.2\,\text{g}$ when empty, although there is nothing on it. An object is placed on the scale, and the scale shows $48.7\,\text{g}$.

      What is the mass of the object?

      g
      Answer

      $47.5\,\text{g}$

      Show the solution

      Given

      the reading of the scale when empty (zero reading) $m_0 = 1.2\,\text{g}$, the reading with the object $m_\text{reading} = 48.7\,\text{g}$

      Find

      the mass of the object $m$ in the unit $\text{g}$

      Principle

      The scale adds the same amount $1.2\,\text{g}$ to every reading, because it already shows it when empty. This is a systematic error, and it is corrected by subtracting the zero reading from the reading.

      Formula

      $m = m_\text{reading} - m_0$

      Conversions

      Both readings are in grams, so no conversions are needed.

      Substitution

      $m$$= 48.7\,\text{g} - 1.2\,\text{g}$
      $= 47.5\,\text{g}$

      Answer

      $47.5\,\text{g}$

      Three significant figures; both readings are known to one decimal place.

      Reasonableness

      The scale shows too much, so the true mass must be smaller than the reading, and $47.5\,\text{g} < 48.7\,\text{g}$. Check: $47.5\,\text{g} + 1.2\,\text{g} = 48.7\,\text{g}$.

    5. Exercise 3-5

      The smallest scale division of a ruler is $1.0\,\text{mm}$, and the uncertainty of a reading is estimated to be half of a scale division.

      How large is the uncertainty of the reading?

      mm
      Answer

      $0.5\,\text{mm}$

      Show the solution

      Given

      the smallest scale division $d = 1.0\,\text{mm}$

      Find

      the uncertainty of the reading $\Delta x$ in the unit $\text{mm}$

      Principle

      A reading is taken from the scale according to the nearest scale mark. In a simple situation the uncertainty of the reading is estimated as half of a scale division; the total uncertainty can be larger if, for example, the edge of the object is unclear or the scale is viewed from the side.

      Formula

      $\Delta x = \dfrac{d}{2}$

      Conversions

      The scale division is already in millimetres, so no conversions are needed.

      Substitution

      $\Delta x$$= \dfrac{1.0\,\text{mm}}{2}$
      $= 0.5\,\text{mm}$

      Answer

      $0.5\,\text{mm}$

      ; the error estimate is a rough estimate, so it is stated with one significant figure.

      Reasonableness

      If $23.0\,\text{mm}$ is read from a ruler, on the basis of the reading the length is estimated to be between $22.5\,\text{mm}$ and $23.5\,\text{mm}$, and this interval is one scale division, that is, $1.0\,\text{mm}$ wide. So the uncertainty of the reading is smaller than a scale division, but the total uncertainty of the measurement can be larger than this.

    6. Exercise 3-6

      Which of the following situations is an example of a systematic error?

      Choose an option.
      Answer

      The zero point of a thermometer is wrong, so it reads about $1.5\,{}^\circ\text{C}$ in ice water every time.

      Show the solution

      Find

      which of the situations is a systematic error.

      Principle

      A systematic error is almost the same in direction and size in every measurement, for example a wrong zero point of an instrument. A random error varies at random in either direction, and a gross error is a single mistake that shows up as a result differing from the others.

      Model answer

      The systematic error is the wrong zero point of the thermometer: in ice water the thermometer reads about $1.5\,{}^\circ\text{C}$ too high every time, so all readings shift in the same direction. Repeating and averaging do not remove it, but comparison with a known value (ice water is $0\,{}^\circ\text{C}$) reveals it, and the readings are corrected by subtracting the error. The varying moment of stopping the clock and the varying viewing direction are random errors, which the mean reduces. The wrongly recorded number $34.2\,\text{s}$ is a gross error, which is checked and corrected.

    7. Exercise 3-7

      The width of a wooden block is measured five times: $5.41\,\text{cm}$, $5.47\,\text{cm}$, $5.39\,\text{cm}$, $5.44\,\text{cm}$ and $5.43\,\text{cm}$. The error estimate is taken to be half of the range and it is rounded to one significant figure. Give the mean rounded so that its precision matches the error estimate.

      cm
      Answer

      $5.43\,\text{cm}$

      Show the solution

      Given

      $x_1 = 5.41\,\text{cm}$, $x_2 = 5.47\,\text{cm}$, $x_3 = 5.39\,\text{cm}$, $x_4 = 5.44\,\text{cm}$, $x_5 = 5.43\,\text{cm}$; $n = 5$

      Find

      the mean $\bar{x}$ in $\text{cm}$, rounded to the precision of the error estimate $\Delta x$

      Principle

      The result is given in the form $\bar{x} \pm \Delta x$. The error estimate is rounded to one significant figure (two if the first figure is 1), and the mean is rounded to the same decimal place, because the figures after the decimal place of the error estimate are already uncertain.

      Formula

      $\bar{x}$$= \dfrac{x_1 + x_2 + x_3 + x_4 + x_5}{n}$
      $\Delta x$$= \dfrac{x_\text{max} - x_\text{min}}{2}$

      Conversions

      All lengths are in centimetres, so no conversions are needed.

      Substitution

      The sum of the results is

      $5.41\,\text{cm} + 5.47\,\text{cm} + 5.39\,\text{cm} + 5.44\,\text{cm} + 5.43\,\text{cm}$
      $= 27.14\,\text{cm}$

      so

      $\bar{x}$$= \dfrac{27.14\,\text{cm}}{5}$
      $= 5.428\,\text{cm}$
      $\Delta x$$= \dfrac{5.47\,\text{cm} - 5.39\,\text{cm}}{2}$
      $= 0.04\,\text{cm}$

      Answer

      $5.43\,\text{cm}$

      Because the error estimate $0.04\,\text{cm}$ is a one-figure number at the hundredths place (the first figure is not 1). The result is $5.43\,\text{cm} \pm 0.04\,\text{cm}$.

      Reasonableness

      The interval $5.43\,\text{cm} \pm 0.04\,\text{cm}$, that is $5.39\,\text{cm}$–$5.47\,\text{cm}$, covers all five results. The result $5.428\,\text{cm}$ would be too precise, because it would imply knowing the width to the thousandths, although the error estimate is in hundredths.

    8. Exercise 3-8

      The thickness of a plate is measured with two instruments: a ruler whose smallest scale division is $1.0\,\text{mm}$, and a digital calliper whose display changes in steps of $0.01\,\text{mm}$. The uncertainty of the reading is estimated for both as half of the smallest reading interval.

      How many times smaller is the uncertainty of the calliper reading than that of the ruler?

      times
      Answer

      $100$

      Show the solution

      Given

      the smallest scale division of the ruler $d_\text{r} = 1.0\,\text{mm}$, the smallest step of the calliper display $d_\text{c} = 0.01\,\text{mm}$

      Find

      how many times smaller the uncertainty of the calliper reading $\Delta x_\text{c}$ is than that of the ruler $\Delta x_\text{r}$

      Principle

      The uncertainty of each reading is estimated as half of the smallest reading interval: when reading a scale, the reading is placed between the marks, and a digital display rounds the reading to the nearest step. A smaller reading interval means a smaller reading uncertainty, so the calliper is the more precise instrument. This is an estimate of the reading; the total uncertainty of a measurement can also be affected by the instrument and the method.

      Formula

      $\Delta x = \dfrac{d}{2}$ for both instruments, and the comparison is the ratio $\Delta x_\text{r} : \Delta x_\text{c}$

      Conversions

      Both intervals are in millimetres, so no conversions are needed.

      Substitution

      $\Delta x_\text{r}$$= \dfrac{1.0\,\text{mm}}{2}$
      $= 0.5\,\text{mm}$
      $\Delta x_\text{c}$$= \dfrac{0.01\,\text{mm}}{2}$
      $= 0.005\,\text{mm}$

      so $0.5\,\text{mm} : 0.005\,\text{mm} = 100$

      Answer

      $100$

      Times smaller, one significant figure like the step $0.01\,\text{mm}$. The reading uncertainty of the calliper is a hundredth of that of the ruler.

      Reasonableness

      The ratio is the same as the ratio of the reading intervals $1.0\,\text{mm} : 0.01\,\text{mm} = 100$, because halving cancels out. With a ruler the width is read to half a millimetre and with a calliper to a hundredth of a millimetre, which matches everyday experience that a calliper is more precise.

    Level 2 · applied practice 7 exercises

    Two steps, working with measured data, a unit conversion or rearranging a formula. Core exercises first, the rest is extra practice.

    1. Exercise 3-9Core

      The rolling time of a ball is measured six times: $1.84\,\text{s}$, $1.91\,\text{s}$, $1.78\,\text{s}$, $1.88\,\text{s}$, $1.96\,\text{s}$ and $1.82\,\text{s}$. The estimate of random error is taken to be half of the range.

      What percentage of the mean is it?

      %
      Answer

      $5\,\%$

      Show the solution

      Given

      $t = 1.84\,\text{s}$, $1.91\,\text{s}$, $1.78\,\text{s}$, $1.88\,\text{s}$, $1.96\,\text{s}$ and $1.82\,\text{s}$; $n = 6$, $t_\text{min} = 1.78\,\text{s}$, $t_\text{max} = 1.96\,\text{s}$

      Find

      the ratio of the estimate of random error $\Delta t$ to the mean $\bar{t}$ as a percentage

      Principle

      The estimate of random error is half of the range, and the precision of the result is best described by its ratio to the result, the relative uncertainty. The mean is taken as the result, because it reduces the effect of random error.

      Formula

      $\bar{t}$$= \dfrac{t_1 + \dots + t_6}{n}$
      $\Delta t$$= \dfrac{t_\text{max} - t_\text{min}}{2}$
      $\varepsilon$$= \dfrac{\Delta t}{\bar{t}} \cdot 100\,\%$

      Conversions

      The times are in seconds and the ratio has no unit. It is multiplied by a hundred to get percent.

      Substitution

      $\bar{t}$$= \dfrac{11.19\,\text{s}}{6}$
      $= 1.865\,\text{s}$
      $\Delta t$$= \dfrac{1.96\,\text{s} - 1.78\,\text{s}}{2}$
      $= 0.09\,\text{s}$

      so

      $\varepsilon$$= \dfrac{0.09\,\text{s}}{1.865\,\text{s}} \cdot 100\,\%$
      $= 4.83\,\%$

      Answer

      $5\,\%$

      One significant figure like the error estimate $0.09\,\text{s}$ (calculator value $4.83\,\%$).

      Reasonableness

      Rough estimate: $0.09\,\text{s}$ is about $\tfrac{1}{20}$ of the time $1.87\,\text{s}$, that is, about $5\,\%$. For a hand-timed measurement a random error of a few percent is usual.

    2. Exercise 3-10Core

      The zero end of a tape measure is worn. A rod exactly $1.000\,\text{m}$ long is measured with the tape three times, and the readings are $1.012\,\text{m}$, $1.009\,\text{m}$ and $1.011\,\text{m}$.

      By how many millimetres too much does the tape show on average?

      mm
      Answer

      $11\,\text{mm}$

      Show the solution

      Given

      the length of the rod $L_0 = 1.000\,\text{m}$ and the readings of the tape $L_1 = 1.012\,\text{m}$, $L_2 = 1.009\,\text{m}$, $L_3 = 1.011\,\text{m}$

      Find

      the average error of the tape $\Delta L_\text{sys}$ in the unit $\text{mm}$

      Principle

      The rod is the same length all the time, and the worn start of the tape adds the same amount to every reading: this is a systematic error. The readings vary slightly because of random error, so the error is estimated as the difference between the mean of the readings and the true value.

      Formula

      $\bar{L} = \dfrac{L_1 + L_2 + L_3}{3}$ and $\Delta L_\text{sys} = \bar{L} - L_0$

      Conversions

      The result comes out in metres, and $1\,\text{m} = 1000\,\text{mm}$, so it is multiplied by a thousand.

      Substitution

      The sum is $1.012\,\text{m} + 1.009\,\text{m} + 1.011\,\text{m} = 3.032\,\text{m}$, so

      $\bar{L}$$= \dfrac{3.032\,\text{m}}{3}$
      $= 1.01067\,\text{m}$
      $\Delta L_\text{sys}$$= 1.01067\,\text{m} - 1.000\,\text{m}$
      $= 0.01067\,\text{m}$
      $= 10.67\,\text{mm}$

      Answer

      about $11\,\text{mm}$ (calculator value $10.67\,\text{mm}$): the readings vary by about $\pm 1.5\,\text{mm}$, so the mean should not be stated more precisely than a millimetre.

      Reasonableness

      Each reading is $9\,\text{mm}$–$12\,\text{mm}$ too large, so the mean $11\,\text{mm}$ is between these. The tape shows about $1\,\%$ too much, and the sign of the error is positive, because the readings exceed the true value.

    3. Exercise 3-11

      The length of a glass tube is measured three times, and the results have been recorded in different units: $12.4\,\text{cm}$, $0.125\,\text{m}$ and $123\,\text{mm}$.

      What is the mean in centimetres?

      cm
      Answer

      $12.4\,\text{cm}$

      Show the solution

      Given

      $L_1 = 12.4\,\text{cm}$, $L_2 = 0.125\,\text{m}$, $L_3 = 123\,\text{mm}$

      Find

      the mean $\bar{L}$ in the unit $\text{cm}$

      Principle

      A mean can be calculated only from numbers in the same unit, because numbers in different units cannot be added. So convert all results to centimetres first.

      Formula

      $\bar{L} = \dfrac{L_1 + L_2 + L_3}{3}$

      Conversions

      $0.125\,\text{m} = 12.5\,\text{cm}$, because $1\,\text{m} = 100\,\text{cm}$, and $123\,\text{mm} = 12.3\,\text{cm}$, because $10\,\text{mm} = 1\,\text{cm}$.

      Substitution

      The sum is $12.4\,\text{cm} + 12.5\,\text{cm} + 12.3\,\text{cm} = 37.2\,\text{cm}$, so

      $\bar{L}$$= \dfrac{37.2\,\text{cm}}{3}$
      $= 12.4\,\text{cm}$

      Answer

      $12.4\,\text{cm}$

      Three significant figures like the measurement results.

      Reasonableness

      The mean is between the smallest result $12.3\,\text{cm}$ and the largest result $12.5\,\text{cm}$. If the numbers had not been converted, the sum $12.4 + 0.125 + 123$ would give the absurd mean $45.2$, so the conversion is necessary.

    4. Exercise 3-12

      The same length is measured five times with two instruments. Instrument A gives the results $5.2\,\text{cm}$, $5.6\,\text{cm}$, $5.4\,\text{cm}$, $5.3\,\text{cm}$ and $5.5\,\text{cm}$. Instrument B gives the results $5.40\,\text{cm}$, $5.43\,\text{cm}$, $5.41\,\text{cm}$, $5.42\,\text{cm}$ and $5.44\,\text{cm}$.

      How many times as large is half of the range of the results of instrument A compared with that of instrument B?

      times
      Answer

      $10$

      Show the solution

      Given

      instrument A: $5.2$, $5.6$, $5.4$, $5.3$ and $5.5\,\text{cm}$; instrument B: $5.40$, $5.43$, $5.41$, $5.42$ and $5.44\,\text{cm}$

      Find

      the ratio $k = \dfrac{\Delta x_\text{A}}{\Delta x_\text{B}}$, where $\Delta x$ is half of the range

      Principle

      Half of the range describes the size of the random error, that is, how well the measurement repeats. A smaller half means better repeatability, so the ratio tells how much better one instrument repeats.

      Formula

      $\Delta x$$= \dfrac{x_\text{max} - x_\text{min}}{2}$

      for both instruments, and

      $k$$= \dfrac{\Delta x_\text{A}}{\Delta x_\text{B}}$

      Conversions

      All lengths are in centimetres. In the ratio the units cancel, so no conversions are needed.

      Substitution

      $\Delta x_\text{A}$$= \dfrac{5.6\,\text{cm} - 5.2\,\text{cm}}{2}$
      $= 0.2\,\text{cm}$
      $\Delta x_\text{B}$$= \dfrac{5.44\,\text{cm} - 5.40\,\text{cm}}{2}$
      $= 0.02\,\text{cm}$

      so

      $k$$= \dfrac{0.2\,\text{cm}}{0.02\,\text{cm}}$
      $= 10$

      Answer

      $10$

      Times; the differences $0.4\,\text{cm}$ and $0.04\,\text{cm}$ are one-figure numbers, so the ratio is given with one significant figure.

      Reasonableness

      The results of instrument B fit in an interval $0.04\,\text{cm}$ wide and the results of instrument A in one $0.4\,\text{cm}$ wide, that is, ten times wider. Good repeatability still does not tell whether the mean of instrument B is accurate.

    5. Exercise 3-13

      The time of ten revolutions of a record on a turntable was measured eight times with a hand-held stopwatch, and the results are in the table. Take half of the range as the error estimate of the time of 10 revolutions and round the mean to the precision of the error estimate. Give the time of one revolution in the form $\bar{T} \pm \Delta T$.

      Time of 10 revolutions of the record
      $n$$t_{10}\,(\text{s})$
      118.12
      218.31
      318.05
      418.27
      518.19
      618.35
      718.10
      818.22
      s
      Answer

      $\bar{T} = 1.820\,\text{s}$

      Show the solution

      Given

      the eight times $t_{10}$ (10 revolutions) of the table: $18.12\,\text{s}$, $18.31\,\text{s}$, $18.05\,\text{s}$, $18.27\,\text{s}$, $18.19\,\text{s}$, $18.35\,\text{s}$, $18.10\,\text{s}$ and $18.22\,\text{s}$; $n = 8$

      Find

      the mean time of one revolution $\bar{T}$ in the unit $\text{s}$

      Principle

      A time taken by hand has a random error, so the result is the mean and the error estimate is half of the range. The time of one revolution is obtained from the time of ten revolutions by dividing both the mean and the error estimate by the exact number $10$.

      Formula

      $\bar{t}_{10}$$= \dfrac{t_1 + \dots + t_8}{n}$
      $\;\Delta t_{10}$$= \dfrac{t_\text{max} - t_\text{min}}{2}$

      $\;\bar{T} = \dfrac{\bar{t}_{10}}{10}$ and $\Delta T = \dfrac{\Delta t_{10}}{10}$

      Conversions

      Not needed: all times are in seconds.

      Substitution

      The sum is $145.61\,\text{s}$, so

      $\bar{t}_{10}$$= \dfrac{145.61\,\text{s}}{8}$
      $= 18.20125\,\text{s}$
      $\Delta t_{10}$$= \dfrac{18.35\,\text{s} - 18.05\,\text{s}}{2}$
      $= 0.15\,\text{s}$

      Thus

      $\bar{T}$$= \dfrac{18.20125\,\text{s}}{10}$
      $= 1.820125\,\text{s}$
      $\Delta T$$= \dfrac{0.15\,\text{s}}{10}$
      $= 0.015\,\text{s}$

      Answer

      $\bar{T} = 1.820\,\text{s}$

      That is $1.82\,\text{s}$. The error estimate $0.015\,\text{s}$ is a two-figure number because the first figure is 1, so the result is rounded to thousandths: $T = 1.820\,\text{s} \pm 0.015\,\text{s}$.

      Reasonableness

      The usual speed of a turntable is $33.33$ revolutions per minute, so one revolution takes $60\,\text{s} : 33.33 = 1.800\,\text{s}$. The measured $1.820\,\text{s} \pm 0.015\,\text{s}$ has the right order of magnitude, but $1.800\,\text{s}$ falls just outside that interval; the turntable may therefore be turning slightly slowly, or the timing may have a small systematic error. Timing ten revolutions reduces the relative share of the reaction time: the error estimate $0.15\,\text{s}$ is only about $0.8\,\%$ of the time $18.2\,\text{s}$.

    6. Exercise 3-14

      Two groups measured the same amount of water, whose volume is known accurately: $50.0\,\text{ml}$. The results are in the table. Calculate the deviation of the mean of group A's results from the known value, with its sign.

      Which series of measurements is more repeatable and which is closer to the true value? Justify with the half-ranges and the means.

      Measured volumes
      $n$$V_\text{A}\,(\text{ml})$$V_\text{B}\,(\text{ml})$
      150.949.4
      251.150.5
      350.849.8
      451.050.3
      550.950.1
      ml
      Answer

      $+0.94\,\text{ml}$

      Show the solution

      Given

      known volume $V_\text{true} = 50.0\,\text{ml}$; the results of group A $50.9\,\text{ml}$, $51.1\,\text{ml}$, $50.8\,\text{ml}$, $51.0\,\text{ml}$, $50.9\,\text{ml}$ and the results of group B $49.4\,\text{ml}$, $50.5\,\text{ml}$, $49.8\,\text{ml}$, $50.3\,\text{ml}$, $50.1\,\text{ml}$

      Find

      the deviation of the mean of series A $\bar{V}_\text{A} - V_\text{true}$ with its sign in $\text{ml}$; which series is more repeatable and which is closer to the true value

      Principle

      Repeatability tells about random error, and it is described by the half-range $\Delta V$. The difference between the mean and the known value tells about systematic error, which repeating does not reduce.

      Formula

      $\bar{V}$$= \dfrac{V_1 + \dots + V_5}{n}$
      $\;\Delta V$$= \dfrac{V_\text{max} - V_\text{min}}{2}$

      and deviation $\bar{V}_\text{A} - V_\text{true}$

      Conversions

      Not needed: all volumes are in millilitres.

      Substitution

      $\bar{V}_\text{A}$$= \dfrac{254.7\,\text{ml}}{5}$
      $= 50.94\,\text{ml}$

      so the deviation is $50.94\,\text{ml} - 50.0\,\text{ml} = 0.94\,\text{ml}$. In addition

      $\Delta V_\text{A}$$= \dfrac{51.1\,\text{ml} - 50.8\,\text{ml}}{2}$
      $= 0.15\,\text{ml}$
      $\Delta V_\text{B}$$= \dfrac{50.5\,\text{ml} - 49.4\,\text{ml}}{2}$
      $= 0.55\,\text{ml}$

      $\bar{V}_\text{B} = 50.02\,\text{ml}$.

      Answer

      $+0.94\,\text{ml}$

      The readings are three-figure numbers, and since the error estimate $\Delta V_\text{A} = 0.15\,\text{ml}$ is to hundredths, the deviation is also given in hundredths. Series A is more repeatable ($0.15\,\text{ml} < 0.55\,\text{ml}$), but all its results are over $50\,\text{ml}$, so it has a systematic error. The mean of series B is closer to the true value, although its scatter is larger.

      Reasonableness

      All of A's results are on the same side of the true value, and the deviation $0.94\,\text{ml}$ is a multiple of the scatter $\Delta V_\text{A} = 0.15\,\text{ml}$, so the deviation is probably not random. Good repeatability therefore does not guarantee a correct result.

    7. Exercise 3-15

      The period of a pendulum is about $1.5\,\text{s}$. In hand timing, starting and stopping the clock cause, because of reaction time, an uncertainty of about $0.2\,\text{s}$ in the whole measured time (an estimate that does not depend on the length of the measured time).

      You plan a measurement in which $N$ consecutive swings are timed at once and the time is divided by $N$.

      At least how many swings must be timed so that the relative uncertainty of the period is at most $1\,\%$? Also explain why timing a longer time reduces the effect of reaction time.

      swings
      Answer

      $14$

      Show the solution

      Given

      period $T \approx 1.5\,\text{s}$; uncertainty due to reaction time for the whole measured time $\Delta t = 0.2\,\text{s}$ (an estimate); required relative uncertainty at most $1\,\%$

      Find

      the minimum number of swings $N$

      Principle

      Reaction time acts once at the start and once at the end, whether the measured time is short or long. When $N$ swings are timed and the time is divided by $N$, the uncertainty is divided by $N$ as well.

      Formula

      $\Delta T = \dfrac{\Delta t}{N}$ and the requirement $\dfrac{\Delta T}{T} \le 0.01$, so $\dfrac{\Delta t}{N \cdot T} \le 0.01$, from which $N \ge \dfrac{\Delta t}{0.01 \cdot T}$

      Conversions

      Not needed: all times are in seconds, and $1\,\% = 0.01$.

      Substitution

      $N$$\ge \dfrac{0.2\,\text{s}}{0.01 \cdot 1.5\,\text{s}}$
      $= 13.33\ldots$

      Answer

      At least $14$ swings must be timed, because $N$ is an integer and $13$ is not enough ($0.2 : (13 \cdot 1.5) = 1.03\,\%$).

      Reasonableness

      Check: $N = 14$ gives

      $\Delta T$$= 0.2\,\text{s} : 14$
      $= 0.014\,\text{s}$

      $0.014\,\text{s} : 1.5\,\text{s} = 0.95\,\%$, so the requirement is met. Timing a single swing would give the uncertainty $0.2 : 1.5 = 13\,\%$.

      Model answer

      The error from reaction time does not grow with the length of the time; it is about the same at the start and at the end. A long measurement is divided among many swings, so the share per swing becomes smaller. Repeating also reduces random error through the mean.

    Level 3 · challenging 5 exercises

    Optional: application, two ideas together or a new situation where you reason for yourself.

    1. Exercise 3-16

      In hand timing the stopwatch is always started $0.18\,\text{s}$ too late and always stopped $0.12\,\text{s}$ too late (the delays are the same every time).

      What is the systematic error of the timing, that is, the reading minus the true time? Give the answer with its sign.

      s
      Answer

      $-0.06\,\text{s}$

      Show the solution

      Given

      starting delay $\tau_1 = 0.18\,\text{s}$ (the stopwatch starts too late), stopping delay $\tau_2 = 0.12\,\text{s}$ (the stopwatch stops too late)

      Find

      the systematic error $\Delta t_\text{sys}$ = reading − true time, with its sign, in the unit $\text{s}$

      Principle

      The delays are the same in every measurement, so they are systematic. A stopwatch that starts late lags behind and the reading is too short, and a stopwatch that stops late shows too much. So the delays act in opposite directions.

      Formula

      reading $= t_\text{true} - \tau_1 + \tau_2$, so the error is $\Delta t_\text{sys} = \tau_2 - \tau_1$

      Conversions

      Both delays are in seconds, so no conversions are needed.

      Substitution

      $\Delta t_\text{sys}$$= 0.12\,\text{s} - 0.18\,\text{s}$
      $= -0.06\,\text{s}$

      Answer

      $-0.06\,\text{s}$

      Two decimal places like the delays. The minus sign tells that the reading is too short.

      Reasonableness

      The starting delay is larger than the stopping delay, so the reading comes out short, and the sign is negative. The delays cancel each other almost completely: the error is only a third of the starting delay. If the reading were $3.44\,\text{s}$, the true time would be $3.50\,\text{s}$.

    2. Exercise 3-17

      There are 250 similar sheets in a stack of paper. The thickness of the stack is measured with a ruler whose smallest scale division is $1.0\,\text{mm}$, and the uncertainty of the reading is estimated to be half of a scale division.

      What is the error estimate of the thickness of one sheet, when all the sheets are equally thick? Give the answer in micrometres, where one micrometre is a thousandth of a millimetre.

      µm
      Answer

      $2\,\mu\text{m}$

      Show the solution

      Given

      the number of sheets $n = 250$, the smallest scale division $d = 1.0\,\text{mm}$

      Find

      the error estimate of the thickness of one sheet $\Delta h_1$ in the unit $\mu\text{m}$

      Principle

      The thickness of the stack is the sum of $n$ equally thick sheets, $h = n h_1$. The thickness of the stack has a reading error, and because the number of sheets is exact, the error of the thickness of one sheet is the error of the stack divided by $n$.

      Formula

      $\Delta h = \dfrac{d}{2}$ and $\Delta h_1 = \dfrac{\Delta h}{n}$, so $\Delta h_1 = \dfrac{d}{2n}$

      Conversions

      The result comes out in millimetres, and $1\,\text{mm} = 1000\,\mu\text{m}$, so it is multiplied by a thousand.

      Substitution

      $\Delta h_1$$= \dfrac{1.0\,\text{mm}}{2 \cdot 250}$
      $= \dfrac{0.5\,\text{mm}}{250}$
      $= 0.0020\,\text{mm}$
      $= 2.0\,\mu\text{m}$

      Answer

      $2\,\mu\text{m}$

      One significant figure, because the error estimate is rounded to one significant figure; the number of sheets is an exact number.

      Reasonableness

      The thickness of ordinary copy paper is about $0.1\,\text{mm} = 100\,\mu\text{m}$, so the relative uncertainty is about $2\,\%$. Measuring one sheet directly with a ruler would give an uncertainty of $0.5\,\text{mm}$, that is, about $500\,\%$ of its thickness, so measuring the stack reduces the relative uncertainty to a 250th.

    3. Exercise 3-18

      The length of a steel rod is known exactly from a reference measurement: it is $8.00\,\text{cm}$. The rod is measured five times with vernier callipers, and the readings are $8.24\,\text{cm}$, $8.27\,\text{cm}$, $8.25\,\text{cm}$, $8.29\,\text{cm}$ and $8.25\,\text{cm}$. Calculate the estimate of the systematic error, that is, the difference between the mean and the true value.

      cm
      Answer

      $0.26\,\text{cm}$

      Show the solution

      Given

      true value $x_\text{true} = 8.00\,\text{cm}$; readings $8.24$, $8.27$, $8.25$, $8.29$ and $8.25\,\text{cm}$; $n = 5$

      Find

      the estimate of the systematic error $\Delta x_\text{sys}$ in the unit $\text{cm}$

      Principle

      The readings are close together but all clearly above the true value. The mean reduces random error, so its difference from the true value describes the systematic error that remains.

      Formula

      $\bar{x}$$= \dfrac{x_1 + \dots + x_5}{n}$

      $\Delta x_\text{sys} = \bar{x} - x_\text{true}$

      Conversions

      All lengths are in centimetres, so no conversions are needed.

      Substitution

      The sum is

      $8.24\,\text{cm} + 8.27\,\text{cm} + 8.25\,\text{cm} + 8.29\,\text{cm} + 8.25\,\text{cm}$
      $= 41.30\,\text{cm}$

      so

      $\bar{x}$$= \dfrac{41.30\,\text{cm}}{5}$
      $= 8.26\,\text{cm}$
      $\Delta x_\text{sys}$$= 8.26\,\text{cm} - 8.00\,\text{cm}$
      $= 0.26\,\text{cm}$

      Answer

      $0.26\,\text{cm}$

      Two significant figures; the difference is to two decimal places.

      Reasonableness

      The estimate of random error

      $\dfrac{8.29\,\text{cm} - 8.24\,\text{cm}}{2}$
      $= 0.025\,\text{cm}$
      $\approx 0.03\,\text{cm}$

      is about a tenth of the systematic error, so the error is dominated by the systematic part, for example a wrong zero. If $0.26\,\text{cm}$ is subtracted from all the readings, they are $7.98\,\text{cm}$–$8.03\,\text{cm}$, that is, close to the true value.

    4. Exercise 3-19

      The travel time of a cart from one end of a track to the other was measured eight times with a hand-held stopwatch, and the results are in the table. The laboratory notebook has a note at the sixth measurement: “I looked away for a moment and stopped the clock late.”

      May the result $2.97\,\text{s}$ be left out? Justify with the notebook note and calculate the mean $\bar{t}$ that you can justifiably use.

      What if there were no note and no reason could be found for the deviation? Then calculate the mean of all eight results and compare the half-range with and without the result.

      Travel time of the cart
      $n$$t\,(\text{s})$
      12.41
      22.38
      32.44
      42.40
      52.43
      62.97
      72.39
      82.42
      s
      Answer

      $2.41\,\text{s}$

      Show the solution

      Given

      the eight times of the table; the sixth result $2.97\,\text{s}$ differs from the others, and the laboratory notebook has a note at it that the clock was stopped late

      Find

      may the result be left out, the mean $\bar{t}$ in $\text{s}$, and what would be done if no reason had been recorded

      Principle

      A clearly deviating result is checked, but it is not removed merely because it deviates. It may be left out only if the reason for the gross error is found and the omission is justified and recorded. Here the notebook note gives the reason: the clock was stopped late. If no reason is found, the result stays in the data and the deviation is described in the uncertainty.

      Formula

      $\bar{t}$$= \dfrac{t_1 + \dots + t_n}{n}$

      where $n = 7$ remaining results

      Conversions

      Not needed: all times are in seconds.

      Substitution

      The sum of the results is

      $2.41\,\text{s} + 2.38\,\text{s} + 2.44\,\text{s} + 2.40\,\text{s} + 2.43\,\text{s} + 2.39\,\text{s} + 2.42\,\text{s}$
      $= 16.87\,\text{s}$

      so

      $\bar{t}$$= \dfrac{16.87\,\text{s}}{7}$
      $= 2.41\,\text{s}$

      Answer

      The result may be left out, because the notebook note gives the reason and the omission is recorded; the mean is $2.41\,\text{s}$, three significant figures like the measurements. The half-range is $(2.44\,\text{s} - 2.38\,\text{s}) : 2 = 0.03\,\text{s}$. If no reason had been found, the result would stay in the data: the mean would be $19.84\,\text{s} : 8 = 2.48\,\text{s}$ and the half-range $(2.97\,\text{s} - 2.38\,\text{s}) : 2 = 0.30\,\text{s}$, ten times as large. The result would be given with this uncertainty, the deviation would be mentioned, and it would be worth repeating the measurement.

      Reasonableness

      With the deviating result the mean shifts by $0.07\,\text{s}$, which is over twice the half-range $0.03\,\text{s}$. The omission is based on the recorded reason and not on the size of the deviation $2.97\,\text{s} - 2.41\,\text{s} = 0.56\,\text{s}$: on the basis of the notebook note the result is a gross error.

    5. Exercise 3-20

      Two groups measured the density of the same aluminium object. Group A got the result $\rho_\text{A} = 2.74 \pm 0.05\,\text{g/cm}^3$ and group B the result $\rho_\text{B} = 2.60 \pm 0.05\,\text{g/cm}^3$ (the uncertainties are the groups' estimates).

      A student reasons as follows. “The results differ by only $0.14\,\text{g/cm}^3$, that is about $5\,\%$, so they are consistent.”

      Find the error in the reasoning and use the uncertainty intervals to judge whether the results are consistent. How large is the gap between the intervals?

      g/cm³
      Answer

      $0.04\,\text{g/cm}^3$

      Show the solution

      Given

      $\rho_\text{A} = 2.74\,\text{g/cm}^3$, $\Delta\rho_\text{A} = 0.05\,\text{g/cm}^3$; $\rho_\text{B} = 2.60\,\text{g/cm}^3$, $\Delta\rho_\text{B} = 0.05\,\text{g/cm}^3$; the student's conclusion: the difference is about $5\,\%$, so the results are consistent

      Find

      the error in the student's reasoning, whether the results are consistent, and the gap $E$ between the uncertainty intervals in $\text{g/cm}^3$

      Principle

      The consistency of two results is judged with uncertainty intervals, not with the percentage by which the results differ. If the intervals $\rho \pm \Delta\rho$ overlap, a difference cannot be shown; if they do not, the difference is greater than the stated uncertainties explain. The uncertainties are estimates, not certain limits.

      Formula

      the gap is the difference between the difference of the results and the sum of the uncertainties:

      $E$$= |\rho_\text{A} - \rho_\text{B}| - (\Delta\rho_\text{A} + \Delta\rho_\text{B})$

      Conversions

      Not needed: all values are in $\text{g/cm}^3$.

      Substitution

      $E$$= |2.74\,\text{g/cm}^3 - 2.60\,\text{g/cm}^3| - (0.05\,\text{g/cm}^3 + 0.05\,\text{g/cm}^3)$
      $= 0.14\,\text{g/cm}^3 - 0.10\,\text{g/cm}^3$
      $= 0.04\,\text{g/cm}^3$

      Answer

      $0.04\,\text{g/cm}^3$

      Two decimal places like the results. The student's error is to judge consistency by the percentage difference: the intervals $2.69$–$2.79\,\text{g/cm}^3$ and $2.55$–$2.65\,\text{g/cm}^3$ do not overlap, and a gap of $0.04\,\text{g/cm}^3$ is left between them. According to these estimates the difference is greater than the stated uncertainties explain, so the results differ from each other; the cause is worth looking for, for example in a systematic error. The difference still does not prove either result wrong.

      Reasonableness

      The uncertainties are about $2\,\%$ of the results, so the $5\,\%$ difference is over twice as large as they are. If B were $2.66\,\text{g/cm}^3$, the intervals would overlap although the results would still differ by $0.08\,\text{g/cm}^3$.

    Photographs

    • High angle shot of person measuring an object. Antoni Shkraba. source, Pexels License
    • LIGO at Hanford, Washington (LIGO Pano 02-CC). NOIRLab/LIGO/NSF/AURA/T. Matsopoulos. source, CC BY 4.0