Truncation cuts off digits without looking at what comes next, and an error interval shows every possible true value. Free notes and 13 questions answered.
Updated 21 Mar 2026 · Revise Right Team
Understanding Accuracy and Measurement is part of Measures and accuracy in GCSE AQA Higher Maths.
5 min
Reading time
22
Lessons in this topic
GCSE AQA Higher
Pathway
Reviewed by Revise Right
Content review
What this lesson covers
Truncation cuts off digits without looking at what comes next, and an error interval shows every possible true value. Free notes and 13 questions answered.
Define upper and lower bounds for a measurement given to a specified degree of accuracy
Calculate the upper and lower bounds of expressions involving addition, subtraction, multiplication, and division
Apply error intervals using inequality notation to represent the range of possible values
Identify the maximum and minimum possible values of a calculated quantity using bounds
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Use this lesson to stay inside Measures and accuracy while connecting the detail back to the wider Number topic.
Error Interval: A range of values, expressed using inequality notation, within which the true value of a measurement must lie. Used when a value has been rounded or truncated to a given degree of accuracy.
Lower Bound: The smallest possible value a measurement could take before it would have been rounded to a different value. Equal to the stated value minus half the degree of accuracy.
Upper Bound: The smallest value that the measurement could NOT be, i.e. the value at which rounding would produce the next stated value. Equal to the stated value plus half the degree of accuracy.
Degree of Accuracy: The precision to which a measurement is given, such as the nearest whole number, nearest 10, nearest centimetre, or to a specified number of decimal places or significant figures.
Revision notes
Read the core explanations from Understanding Accuracy and Measurement before testing yourself from memory.
1. Why Measurements Are Never Perfectly Exact
Every measurement you take in real life is rounded. A ruler marked in millimetres cannot tell you whether a pencil is 14.3 mm or 14.32 mm — it gives you the nearest millimetre. That rounding creates a gap between the number written down and the true value hiding behind it.
This matters enormously in engineering, medicine, and construction. If a bridge beam is measured as 12 m to the nearest metre, the true length could be anywhere from 11.5 m to just under 12.5 m — a full metre of uncertainty. Knowing how to capture that uncertainty precisely is what this topic is all about.
Before finding any bounds, you must identify the degree of accuracy. That single piece of information determines everything else. Half of the degree of accuracy is the key quantity — it tells you how far the true value can stray either side of the rounded figure.
2. Upper and Lower Bounds
Picture a number line. You have a rounded value sitting in the middle. The true value could be anywhere in a symmetric interval around it. The edges of that interval are the lower bound and the upper bound.
Notice that the lower bound uses a closed inequality ($\geq$) — the true value can equal the lower bound. The upper bound uses a strict inequality ($<$) — the true value cannot equal the upper bound, because if it did, it would round up to the next value.
Worked example: Finding the Error Interval for a Rounded Measurement
A length $l$ is measured as 8.4 cm, correct to 1 decimal place. Write down the error interval for $l$.
Rounded to 1 decimal place $\Rightarrow$ degree of accuracy $= 0.1$ cm — 1 decimal place means the measurement is given to the nearest 0.1. This is your starting point every time. [M1]
$\frac{0.1}{2} = 0.05$ cm — This is the maximum amount the true value can differ from the rounded value in either direction.
$8.4 - 0.05 = 8.35$ cm — Subtract half the degree of accuracy from the rounded value. [M1]
$8.4 + 0.05 = 8.45$ cm — Add half the degree of accuracy to the rounded value.
$8.35 \leq l < 8.45$ — Use $\leq$ for the lower bound (included) and $<$ for the upper bound (excluded). [A1]
Answer: $8.35 \leq l < 8.45$
3. Bounds with Significant Figures
Significant figures add a layer of care because the degree of accuracy changes depending on the size of the number. A value given to 2 significant figures has a different degree of accuracy at 3,400 than at 0.0034.
The method is identical — identify what the last significant figure represents as a place value, treat that as your degree of accuracy, then halve it. The worked example below shows this clearly. Understanding these key concepts solidifies your foundational knowledge and prepares you for more advanced problems.
Worked example: Error Interval for a Value Given to Significant Figures
A population $P$ is recorded as 47,000, given to 2 significant figures. Write the error interval for $P$.
$47{,}000$ to 2 s.f. $\Rightarrow$ the second significant figure is the digit 7, which is in the thousands column. — The degree of accuracy is therefore 1,000 — the value is rounded to the nearest thousand. [M1]
$\frac{1000}{2} = 500$ — This is the maximum deviation from the stated value.
$46{,}500 \leq P < 47{,}500$ — Standard error interval notation. [A1]
Answer: $46{,}500 \leq P < 47{,}500$
4. Bounds with Calculated Values and Techniques
Here is where the topic becomes genuinely powerful — and where exam questions get harder. When you combine two rounded measurements in a calculation, the result also has a range of possible values. You need to think carefully about which combination of bounds gives the maximum result and which gives the minimum.
The rules below are the key to getting this right every time. Memorise the logic, not just the rule — understanding why each combination works will save you in unfamiliar questions.
The division rule is the one that trips students up most often. To make a fraction as large as possible, you want the numerator as big as possible and the denominator as small as possible. Think of it like this: $\frac{10}{2} = 5$ but $\frac{10}{1} = 10$ — a smaller denominator gives a bigger result.
Worked example: Maximum and Minimum of a Calculated Area
A rectangle has length $l = 12$ cm (to the nearest cm) and width $w = 7$ cm (to the nearest cm). Calculate the upper bound and lower bound of the area of the rectangle.
Degree of accuracy $= 1$ cm, so half $= 0.5$ cm
$\text{LB}(l) = 12 - 0.5 = 11.5$ cm
$\text{UB}(l) = 12 + 0.5 = 12.5$ cm — Standard bounds calculation for $l$. [M1]
Degree of accuracy $= 1$ cm, so half $= 0.5$ cm
$\text{LB}(w) = 7 - 0.5 = 6.5$ cm
$\text{UB}(w) = 7 + 0.5 = 7.5$ cm — Standard bounds calculation for $w$. [M1]
Answer: Upper bound of area $= 93.75$ cm$^2$; Lower bound of area $= 74.75$ cm$^2$
Worked example: Upper Bound of a Calculated Speed
Priya runs a distance $d = 400$ m, measured to the nearest 10 m, in a time $t = 52$ s, measured to the nearest second. Calculate the upper bound of her average speed. Give your answer to 3 significant figures.
Degree of accuracy $= 10$ m, half $= 5$ m
$\text{LB}(d) = 400 - 5 = 395$ m
$\text{UB}(d) = 400 + 5 = 405$ m — Nearest 10 m gives a half-interval of 5 m. [M1]
Degree of accuracy $= 1$ s, half $= 0.5$ s
$\text{LB}(t) = 52 - 0.5 = 51.5$ s
$\text{UB}(t) = 52 + 0.5 = 52.5$ s — Nearest second gives a half-interval of 0.5 s. [M1]
$\text{Speed} = \frac{d}{t}$, so maximum speed $= \frac{\text{UB}(d)}{\text{LB}(t)} = \frac{405}{51.5}$ — To maximise a fraction, use the largest numerator and the smallest denominator. [M1]
$\frac{405}{51.5} = 7.864...$ m/s — Carry out the division without rounding mid-calculation. Keep the full decimal for now.
$7.864... \approx 7.86$ m/s (3 s.f.) — The fourth significant figure is 4, so round down. [A1]
Answer: Upper bound of speed $\approx 7.86$ m/s (3 s.f.)
5. Truncation vs Rounding
Rounding is not the only way a value gets approximated. Truncation cuts off digits after a certain point without looking at what comes next. A calculator display that shows 3.14 for $\pi$ has truncated, not rounded — the true value is 3.14159..., which would round to 3.14 anyway, but truncation always discards, never rounds up.
This changes the error interval. When a value is truncated to, say, 2 decimal places, the lower bound is the truncated value itself (the true value is at least that big), and the upper bound is the truncated value plus the degree of accuracy. The interval shifts entirely above the stated value.
Method
Stated value
Lower bound
Upper bound
Error interval
Rounded to nearest 0.1
6.3
6.25
6.35
$6.25 \leq x < 6.35$
Truncated to 1 d.p.
6.3
6.3
6.4
$6.3 \leq x < 6.4$
The table makes the contrast clear. Rounding creates a symmetric interval centred on the stated value. Truncation creates an interval that starts at the stated value and extends upward by one full degree of accuracy. Examiners test this distinction directly, so it is worth fixing firmly in your mind.
6. Deliberate Practice
These problems cover the full range of techniques from this lesson. Work through each one before checking the solution — the act of attempting it first is what builds the skill.
7. Exam Technique and Common Mistakes
Bounds questions appear on both calculator-allowed questions and questions without a calculator. In questions without a calculator, you must show all arithmetic working clearly — you cannot rely on a calculator to verify your multiplication. On calculator-allowed exam questions , you can compute the final division or product directly, but you still need to show which bounds you selected and why.
The mark scheme for a bounds calculation question typically awards one mark for correct bounds on each variable and one mark for selecting the correct combination. The final answer mark is only awarded if the combination is right. This means you can still earn method marks even if your arithmetic slips — but only if your working is visible.
Sources and content standards
Published by Revise Right. Use the official specification reference to check the requirements for your course. Content updated: 2026-03-21.
Truncation cuts off digits after a certain point without looking at what comes next, so it always discards and never rounds up. A calculator display showing 3.14 for π has truncated the true value 3.14159...
What is the difference between truncation and rounding?
Truncation cuts off digits without looking at what comes next, so it never rounds up. A value of 6.3 truncated to 1 d.p. lies from 6.3 up to 6.4, whereas 6.3 rounded to the nearest 0.1 lies from 6.25 up to 6.35, an interval centred on the stated value.
What is degree of accuracy?
Degree of accuracy is the precision to which a value is stated, such as the nearest whole number, nearest 10, nearest 0.1 or a number of significant figures. Half of the degree of accuracy shows how far the true value can stray either side of the rounded figure.
What is an error interval?
An error interval is an inequality that captures every possible true value of a rounded measurement, with the lower bound included and the upper bound excluded. For a length of 8.4 cm to 1 decimal place, half of 0.1 is 0.05, so the true length is at least 8.35 cm and less than 8.45 cm.
How do you find an error interval for significant figures?
For a value given to significant figures, find the place value of the last significant figure, halve it, then subtract and add. A population of 47,000 to 2 s.f. is rounded to the nearest 1,000, so half is 500 and the population is at least 46,500 and less than 47,500.
How do you find the upper bound of a speed?
The upper bound of a speed uses the largest numerator and the smallest denominator: the upper bound of the distance ÷ the lower bound of the time. For 400 m to the nearest 10 m in 52 s to the nearest second, the upper bound is 405 ÷ 51.5 = 7.86 m/s to 3 s.f.
How do you find the upper and lower bounds of an area?
The upper bound of an area multiplies both upper bounds and the lower bound multiplies both lower bounds. For a rectangle 12 cm by 7 cm, each to the nearest cm, the upper bound is 12.5 × 7.5 = 93.75 cm² and the lower bound is 11.5 × 6.5 = 74.75 cm².
What is the error interval for 8.4 cm to 1 decimal place?
The error interval for 8.4 cm to 1 decimal place is 8.35 ≤ l < 8.45. The degree of accuracy is 0.1 cm, half of that is 0.05 cm, and subtracting and adding 0.05 gives the lower and upper bounds.
What is the error interval for 47,000 to 2 significant figures?
The error interval for 47,000 to 2 significant figures is 46,500 ≤ P < 47,500. The second significant figure, 7, is in the thousands column, so the degree of accuracy is 1,000 and half of it is 500.
What is the error interval for a truncated number?
For a truncated number, the lower bound is the truncated value itself and the upper bound is the truncated value plus the degree of accuracy. So 6.3 truncated to 1 d.p. gives 6.3 ≤ x < 6.4, while 6.3 rounded gives 6.25 ≤ x < 6.35.
How do you find the maximum value of a division using bounds?
The maximum value of a division uses the upper bound of the numerator ÷ the lower bound of the denominator. A smaller denominator gives a bigger result, as 10 ÷ 2 = 5 but 10 ÷ 1 = 10.
When should you round in a bounds calculation?
In a bounds calculation, rounding should happen only at the final step, keeping the full decimal until then. For example, 405 ÷ 51.5 = 7.864... is kept in full and only then rounded to 7.86 m/s to 3 significant figures.
What are the bounds of 400 m to the nearest 10 m?
The bounds of 400 m to the nearest 10 m are 395 m and 405 m. The degree of accuracy is 10 m, so half of it is 5 m, which is subtracted for the lower bound and added for the upper bound.