Approximation, error and estimation
IB Mathematics: Applications and Interpretation HLΒ· Unit 1: Number and algebra, Topic 2Β· 25 min read
1. Significant Figures and Roundingβ β ββββ± 8 min
Significant figures
Digits that carry meaningful information about the precision of a measurement. Leading zeros are never significant; trailing zeros are significant only after a decimal point.
Example:
0.0042 has 2 s.f., 2400 has 2 s.f., 2400.0 has 5 s.f.
Rounding to a specified number of significant figures is required for almost all calculations in IB exams, as it communicates the precision of your result. Follow these consistent rules to avoid mistakes:
Start counting from the first non-zero digit on the left
Count the required number of significant digits
Round the last digit up if the next digit is 5 or greater, otherwise leave it unchanged
Round 0.024571 to 3 significant figures
- 1
The first non-zero digit is 2 (1st s.f.), so we count 3 digits: 2 (1st), 4 (2nd), 5 (3rd). The next digit after 5 is 7.
- 2
Since 7 β₯ 5, round the 3rd digit up from 5 to 6.
- 3
Final rounded value: 0.0246
2. Absolute, Relative and Percentage Errorβ β β βββ± 10 min
Error measures
Quantify the discrepancy between a true (exact) value and an approximate or measured value. Three standard measures are used in IB AI HL:
Errors arise from rounding, measurement device precision limits, and estimation. Each error type communicates different information about the size of the discrepancy.
A runner's race time is measured as 42.3 seconds. The actual official time is 42.7 seconds. Calculate the absolute, relative and percentage error of the measurement.
- 1
Identify values: true time s, approximate time s
- 2
Calculate absolute error:
- 3
- 4
Calculate relative error:
- 5
- 6
Calculate percentage error:
- 7
3. Estimation of Calculationsβ β β βββ± 7 min
Estimation is used to quickly check if a final calculated answer is reasonable, or to get an approximate result when an exact value is not needed. The standard technique is to round every value in the calculation to 1 or 2 significant figures before computing.
Estimate the value of
- 1
Round each value to 1 significant figure:
- 2
- 3
Substitute and simplify:
- 4
- 5
The exact value is ~ 302.6, so the estimate is accurate for a quick check.
Test your understanding of maximum error
A mass is given as 1400 g to 2 significant figures. What is the maximum possible absolute error?
0.5 g
5 g
50 g
100 g
Reveal answer
50 g β1400 g to 2 s.f. means the true value lies between 1350 g and 1450 g, so the maximum error is g.
4. Common Pitfalls
Wrong move:
Counting leading zeros as significant figures
Why:
Leading zeros only mark the position of the decimal point, they do not contribute to precision. Overcounting leads to incorrect rounding
Correct move:
Always start counting significant figures from the first non-zero digit from the left
Wrong move:
Using the approximate value instead of the true value in the denominator for percentage error
Why:
The IB syllabus defines percentage error relative to the true value, so this will always give an incorrect result
Correct move:
Always divide the absolute error by the true value when calculating relative or percentage error
Wrong move:
Writing 1500 to indicate 4 significant figures, with no additional notation
Why:
Trailing zeros without a decimal point are ambiguous, and examiners will assume they are placeholders
Correct move:
Write it as to clearly show 4 significant figures
Wrong move:
Forgetting to include units for absolute error
Why:
Absolute error is a measure of the difference in the original quantity, so it shares the original units. Examiners often penalize missing units
Correct move:
Add the correct units to your absolute error answer, leave relative error unitless and add a % symbol for percentage error
5. Quick Reference Cheatsheet
Term | Formula | Key Note |
|---|---|---|
Absolute Error | Same units as original quantity | |
Relative Error | Unitless proportional error | |
Percentage Error | Add % symbol to final answer | |
Max Measurement Error (precision ) | Use when true value is unknown | |
Estimation Rule | Round all values to 1 s.f. | Quick check for calculation reasonableness |
When this came up on past exams
AI-estimated based on syllabus patterns β cross-check with official past papers for accuracy. Use only as revision-focus signals.
- 2021 Β· 1
Percentage error calculation
- 2022 Β· 1
Significant figure rounding
- 2023 Β· 2
Estimation of calculation
Going deeper
What's Next
Approximation and error analysis is a foundational skill that appears across every topic in IB AI HL, from descriptive statistics to differential equations to real-world modelling. Examiners enforce strict significant figure rules, so mastering this topic helps you avoid losing easy marks on every exam question. The focus on error also aligns with the applications focus of AI HL, as all real-world data has inherent uncertainty. Your next topic will build on this foundation to work with large and small numbers in scientific notation.
