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International Baccalaureate · MYP 5 Extended

Accuracy and Bounds

⌚ ~90 min ▢ 9 blocks ✓ 42 exercises ➣ Prerequisites : Whole Numbers, Rounding and Estimation, Exponents and Standard Form
I Rounding a Result to Three Significant Figures
In science and mathematics, exact values are often impossible to obtain, either because of measurement limitations or because some numbers (like \(\pi\) or \(\sqrt{2}\)) cannot be written exactly as terminating decimals. Therefore, we often work with approximations.
Approximating well takes four skills: rounding numbers correctly, quantifying the error introduced by an approximation, linking measurement accuracy to the smallest division on a scale, and giving the interval in which the true value lies.
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When to Give an Answer to Three Significant Figures
When a calculation gives a short exact value, such as \(15\) or \(2.75\), the answer is written in full. When the result goes on — a division that does not end, such as \(20 \div 7 = 2.857142\ldots\) — and the question does not say how to round, a common convention is to give the answer to \(3\) significant figures: \(20 \div 7 \approx 2.86\). Three figures are enough for most uses; for a result computed from measurements, more figures would even claim a precision that the measurements do not have. Two rules go with this convention:
  • keep the full calculator value during the calculation, and round only the final answer;
  • give an amount of money to the cent, that is to \(2\) decimal places, rather than to \(3\) significant figures.
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Example
Consider the number \(N = 1204.5678\).
  • Rounded to 2 decimal places (2 d.p.): \(1204.57\) (the 3rd decimal digit is \(7\), so we round up).
  • Rounded to 3 significant figures (3 s.f.): \(1.20 \times 10^3\) (the next digit is \(4\), so we round down).
    (Writing \(1200\) is acceptable here, but \(1.20\times 10^3\) makes the “3 s.f.” explicit.)
Skills to practice
  • Rounding to Significant Figures and in Standard Form
II Calculating Absolute, Relative and Percentage Errors

On 23 September 1999, NASA lost the Mars Climate Orbiter: the probe, part of a \(\dollar 327\) million mission with its twin lander, burned up in the Martian atmosphere instead of entering orbit. The investigation found the cause. One piece of software reported the thruster impulses in pound-force seconds, while the navigation system read those numbers as newton seconds — and \(1\) pound-force second \(\approx 4.45\) newton seconds. Every reported value was therefore \(4.45\) times too small.
  • The navigation system used the value \(1\) where the true value was \(4.45\). Compute the percentage error \(\left|\frac{1 - 4.45}{4.45}\right| \times 100\pourcent\) committed on every single thruster firing.
  • Tiny errors are often harmless. Was this one tiny? What simple habit — checking the order of magnitude of a result — could have caught the problem months before the loss of the probe?
Approximating well is exactly that habit: rounding consciously, quantifying the error of an approximation, and giving the interval in which an unknown exact value lies.

Definition — Absolute, Relative and Percentage Error
Let \(V_{\text{exact}}\) be the true value and \(V_{\text{approx}}\) be the approximated value.
  • The signed error is \(e = V_{\text{approx}} - V_{\text{exact}}\).
  • The absolute error is \(|e| = |V_{\text{approx}} - V_{\text{exact}}|\).
  • The relative error (when \(V_{\text{exact}}\neq 0\)) is $$ r = \left|\frac{V_{\text{approx}} - V_{\text{exact}}}{V_{\text{exact}}}\right|. $$
  • The percentage error is $$ \epsilon = r \times 100\pourcent = \left|\frac{V_{\text{approx}} - V_{\text{exact}}}{V_{\text{exact}}}\right|\times 100\pourcent. $$
Example
The estimated length of a table is \(150\) cm, while the actual length is \(145\) cm. Calculate the absolute error and the percentage error.

  • Absolute error: \(|150 - 145| = 5\) cm.
  • Percentage error: $$\left|\frac{150 - 145}{145}\right|\times 100\pourcent \approx 3.45\pourcent.$$

Skills to practice
  • Calculating Absolute and Percentage Errors
III Determining the Accuracy of a Measurement
When we take measurements, we usually read a scale (a ruler, a thermometer, a balance, \(\dots\)). Often, the true value lies between two marks. We record the closest mark, so the recorded value is an approximation.
If the smallest division on the scale is \(u\), then the measurement can be wrong by up to half of this division, i.e. by \(\pm \dfrac{u}{2}\).
The same holds for any value displayed or rounded to a unit \(u\) (a digital display, a value rounded to the nearest multiple of \(u\)): the true value lies within \(\pm \dfrac{u}{2}\) of it. A digital scale shows \(2.48\) kg, to the nearest \(0.01\) kg: the true mass lies between \(2.475\) kg and \(2.485\) kg.
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Definition — Accuracy Rule
If the smallest division on the scale is \(u\), then:$$ \text{accuracy} = \pm \frac{u}{2}. $$ This is sometimes called the reading error or the absolute uncertainty. It is the largest possible reading error: it assumes the reading is taken to the nearest mark, and it does not include other sources of error (instrument, method).
Example
A ruler has markings every \(1\) cm (so \(u=1\) cm). A pencil is measured to be \(14\) cm.
  1. Determine the accuracy of the measurement.
  2. State the interval within which the true length lies.

  1. The accuracy is \(\pm \dfrac{1}{2}\times 1\text{ cm}=\pm 0.5\text{ cm}\).
  2. The true length \(L\) is in the interval \([13.5,\;14.5)\) cm, i.e. \(13.5 \le L < 14.5\) cm.
Note: If the ruler had millimetre marks (\(u=1\) mm \(=0.1\) cm), the accuracy would be \(\pm 0.5\) mm \(=\pm 0.05\) cm.

Skills to practice
  • Understanding Error and Accuracy
  • Determining Accuracy and Ranges
IV Finding Bounds and the Maximum Percentage Error
As in Measurement Accuracy, a value rounded to the nearest unit \(u\) is within \(\dfrac{u}{2}\) of the exact value. Written as an interval, the exact value lies in:$$ \text{Rounded Value} - \frac{u}{2} \le x < \text{Rounded Value} + \frac{u}{2}. $$ (Examples: nearest cm \(\Rightarrow u=1\); nearest \(0.1\) \(\Rightarrow u=0.1\); rounded to \(2\) d.p. \(\Rightarrow u=0.01\).)
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Definition — Lower and Upper Bounds
For a rounded value:
  • The Lower Bound (LB) is the smallest possible value.
  • The Upper Bound (UB) is the value that the possible values never reach: every possible value is strictly below it, so we write “\(<\)” for the upper bound. The upper bound itself is not a possible value, but it is the number used in calculations.
Example
The length of a book is given as \(L = 12\) cm, rounded to the nearest cm (\(u=1\)).
  1. Calculate the lower bound and the upper bound of the length.
  2. Write the inequality representing the possible values for the true length.

  1. Bounds:
    • Lower bound: \(12 - 0.5 = 11.5\) cm.
    • Upper bound: \(12 + 0.5 = 12.5\) cm.
  2. Inequality: Therefore: \(11.5 \le L < 12.5\).

Method — Calculating Maximum and Minimum Values
When performing calculations with rounded values (area, perimeter, speed, \(\dots\)), errors propagate.
Let \(A\) and \(B\) be two positive quantities with bounds \(A\in[A_{\min},A_{\max})\) and \(B\in[B_{\min},B_{\max})\) (with \(B_{\min}>0\) if dividing by \(B\)).
Operation Upper bound Lower bound
\(A + B\) \(A_{\max} + B_{\max}\) \(A_{\min} + B_{\min}\)
\(A - B\) \(A_{\max} - B_{\min}\) \(A_{\min} - B_{\max}\)
\(A \times B\) \(A_{\max} \times B_{\max}\) \(A_{\min} \times B_{\min}\)
\(A \div B\) \(A_{\max} \div B_{\min}\) \(A_{\min} \div B_{\max}\)
Example
A rectangle has length \(l = 10\) cm and width \(w = 5\) cm, both measured to the nearest cm. Calculate the upper and lower bounds of the area.

  • Step 1: Determine the bounds.
    Since the measurements are to the nearest 1 cm, the accuracy is \(\pm 0.5\) cm.
    • Length \(l\): Lower bound \(= 9.5\), Upper bound \(= 10.5\).
    • Width \(w\): Lower bound \(= 4.5\), Upper bound \(= 5.5\).
  • Step 2: Calculate the areas.
    • Upper bound of the area (using the upper bounds of the sides): $$ A_{\max} = 10.5 \times 5.5 = 57.75 \text{ cm}^2 $$
    • Lower bound of the area (using the lower bounds of the sides): $$ A_{\min} = 9.5 \times 4.5 = 42.75 \text{ cm}^2 $$

Method — Finding the Maximum Percentage Error
A value calculated from rounded measurements (an area, a volume, a speed, \(\dots\)) is an approximation \(V_{\text{approx}}\): the exact value \(V_{\text{exact}}\) is unknown, but it lies between the lower bound and the upper bound of the calculation; this lower bound must be strictly positive, since step 3 divides by it. The maximum percentage error of the approximation is the largest value that its percentage error can take or approach.
  1. Calculate the approximation \(V_{\text{approx}}\) with the rounded measurements.
  2. Calculate the lower bound and the upper bound of the quantity, with the rules for the bounds of a sum, a difference, a product or a quotient.
  3. Calculate the percentage error twice, replacing \(V_{\text{exact}}\) by the lower bound, then by the upper bound: $$\epsilon = \left|\frac{V_{\text{approx}} - V_{\text{exact}}}{V_{\text{exact}}}\right| \times 100\pourcent.$$
  4. Keep the larger of the two values: it is the maximum percentage error. Keep the bounds unrounded, and round only this final percentage.
For positive quantities, the percentage error grows as \(V_{\text{exact}}\) moves away from \(V_{\text{approx}}\), on either side: it is therefore largest at one of the two bounds — often the lower bound, since dividing by a smaller \(V_{\text{exact}}\) gives a larger quotient. A bound of the quantity may be impossible to reach (when it comes from the upper bound of a measurement); as for any bound, it is still the number used in calculations, and the percentage error found there is then a limit that the error approaches without reaching.
Example
The radius of a circular table top is measured as \(45\) cm, to the nearest centimetre.
  1. Calculate the area of the table top given by this measurement.
  2. Calculate the lower bound and the upper bound of the area.
  3. Find the maximum percentage error in the area calculated in question 1.

  1. With the measured radius \(r = 45\) cm: $$\begin{aligned}[t] A_{\text{approx}} &= \pi \times 45^2 && \text{(area of a circle } \pi r^2\text{)}\\ &= 2025\pi && \text{(square)}\\ &\approx 6361.7 \text{ cm}^2. \end{aligned}$$
  2. To the nearest centimetre, \(44.5 \le r < 45.5\). The area \(\pi r^2\) grows with \(r\): $$\begin{aligned}[t] A_{\min} &= \pi \times 44.5^2 && \text{(lower bound of } r\text{)}\\ &= 1980.25\pi\\ &\approx 6221.1 \text{ cm}^2,\\ A_{\max} &= \pi \times 45.5^2 && \text{(upper bound of } r\text{)}\\ &= 2070.25\pi\\ &\approx 6503.9 \text{ cm}^2. \end{aligned}$$ The rounded values are for reading only: question 3 uses the exact forms \(1980.25\pi\) and \(2070.25\pi\).
  3. The percentage error is calculated with \(V_{\text{exact}}\) replaced by each bound, keeping \(\pi\) exact (it cancels): $$\begin{aligned}[t] \epsilon_1 &= \frac{2025\pi - 1980.25\pi}{1980.25\pi} \times 100\pourcent && \text{(at } A_{\min}\text{)}\\ &= \frac{44.75}{1980.25} \times 100\pourcent && \text{(simplify by } \pi\text{)}\\ &\approx 2.26\pourcent,\\ \epsilon_2 &= \frac{2070.25\pi - 2025\pi}{2070.25\pi} \times 100\pourcent && \text{(at } A_{\max}\text{)}\\ &= \frac{45.25}{2070.25} \times 100\pourcent && \text{(simplify by } \pi\text{)}\\ &\approx 2.19\pourcent. \end{aligned}$$ The larger value is at the lower bound: the maximum percentage error in the area is about \(\mathbf{2.26\pourcent}\).

Skills to practice
  • Finding and Calculating with Bounds
  • Finding the Maximum Percentage Error
V Going further
Skills to practice
  • Solving Problems with Errors in Context
  • Solving Problems with Errors and Bounds
  • Investigating Patterns in Rounding Errors
  • Quiz