Study Guide

Approximation, absolute and percentage error

IB Mathematics Applications and Interpretation SLΒ· 15 min read

1. Approximation and Absolute Errorβ˜…β˜†β˜†β˜†β˜†β± 5 min

πŸ“˜ Definition

Absolute Error

Ξ”x=∣xtrueβˆ’xapprox∣\Delta x = |x_{\text{true}} - x_{\text{approx}}|

The absolute difference between the true (exact) value of a quantity and its approximate value, measured in the same units as the original quantity.

Example:

If true length = 10 cm, approximate length = 9.8 cm, absolute error = 0.2 cm

Absolute error only tells you the raw size of the error, not how significant it is relative to the size of the quantity you are measuring. An error of 1 cm is much more significant for a 5 cm object than for a 100 cm object.

πŸ“ Worked Example

A child's true mass is 3.42 kg. It is measured as 3.3 kg on a analog scale. Calculate the absolute error of the measurement.

  1. 1

    Recall the formula for absolute error:

  2. 2
    Ξ”x=∣xtrueβˆ’xapprox∣\Delta x = |x_{\text{true}} - x_{\text{approx}}|
  3. 3

    Substitute the given values into the formula:

  4. 4
    Ξ”x=∣3.42βˆ’3.3∣=∣0.12∣=0.12\Delta x = |3.42 - 3.3| = |0.12| = 0.12
  5. 5

    State the final answer with matching units:

  6. 6

    Absolute error = 0.12 kg

Exam tip:

Always include units for absolute error, as it is a dimensional quantity matching the original measurement.

2. Percentage Errorβ˜…β˜…β˜†β˜†β˜†β± 6 min

πŸ“˜ Definition

Percentage Error

Percentage Error=(Ξ”x∣xtrue∣)Γ—100%\text{Percentage Error} = \left(\frac{\Delta x}{|x_{\text{true}}|}\right) \times 100\%

A unitless, relative measure of error that expresses absolute error as a percentage of the true value. It allows comparison of error significance across different sized quantities.

Example:

A 0.12 kg error for a 3.42 kg mass is 3.5% percentage error

Percentage error is the most commonly requested error type in IB AI SL exams, because it gives context to how large the error is. If the true value is unknown, you may use the approximate value in place of the true value for calculation.

πŸ“ Worked Example

The area of a circle is calculated as using . The exact area (using the full value of ) is . Calculate the percentage error of the approximation.

  1. 1

    First calculate the absolute error of the area:

  2. 2
    Ξ”A=∣28.2858βˆ’28.27∣=0.0158\Delta A = |28.2858 - 28.27| = 0.0158
  3. 3

    Substitute into the percentage error formula, using the exact area as the true value:

  4. 4
    Percentage Error=(0.015828.2858)Γ—100%β‰ˆ0.056%\text{Percentage Error} = \left(\frac{0.0158}{28.2858}\right) \times 100\% \approx 0.056\%
  5. 5

    Round to an appropriate number of significant figures matching the question:

  6. 6

    Percentage error

Exam tip:

Always match the number of significant figures in your error answer to the values given in the question.

3. Error Bounds for Rounded Measurementsβ˜…β˜…β˜†β˜†β˜†β± 4 min

When a measurement is rounded to a given precision, the true value lies within a range of possible values called error bounds. The maximum possible absolute error (the error bound) is half the precision of the rounded measurement.

πŸ“ Worked Example

A distance is given as 140 m, rounded to the nearest 10 m. Find the absolute error bound and maximum possible percentage error.

  1. 1

    The precision of the measurement is 10 m, so the maximum absolute error is half the precision:

  2. 2
    Absolute error bound=102=5 m\text{Absolute error bound} = \frac{10}{2} = 5 \text{ m}
  3. 3

    Calculate maximum percentage error using the approximate measurement (true value is unknown):

  4. 4
    Max Percentage Error=(5140)Γ—100%β‰ˆ3.6%\text{Max Percentage Error} = \left(\frac{5}{140}\right) \times 100\% \approx 3.6\%
  5. 5

    State the full range of possible true values:

  6. 6

    True distance lies between 135 m (lower bound) and 145 m (upper bound)

4. Common Pitfalls

Wrong move:

Dividing absolute error by the approximate value when the true value is given

Why:

The percentage error formula requires dividing by the true value by definition, this mistake costs marks

Correct move:

Always use the given true value for percentage error, only use the approximate value if the true value is unknown

Wrong move:

Forgetting to multiply by 100% and add the % symbol for percentage error

Why:

Leaving the answer as a decimal instead of a percentage is marked incorrect in IB exams

Correct move:

Always multiply relative error by 100 and add the % symbol to your final answer

Wrong move:

Forgetting to add units to absolute error

Why:

IB markers require units for dimensional quantities like absolute error

Correct move:

Always write the matching units for absolute error, same as the original measurement

Wrong move:

Using the full precision as the error bound instead of half

Why:

For a measurement rounded to nearest , the maximum error is , not

Correct move:

Always divide the measurement precision by 2 to get the maximum absolute error bound

5. Quick Reference Cheatsheet

Quantity

Formula

Key Exam Note

Absolute Error

Has same units as

Percentage Error

Most commonly requested error type

Maximum Error Bound

Used when true value is unknown

Lower/Upper Bounds

True value lies between these values

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.

  • 2022 Β· 1

    Percentage error calculation

  • 2021 Β· 1

    Find error bounds for rounded value

  • 2023 Β· 2

    Maximum percentage error problem

What's Next

Approximation and error are foundational concepts for all measurement-based problems in IB AI SL, from statistics to real-world mathematical modelling. You will reuse error calculation skills when working with experimental data, rounded results from calculators, and real-world measurement problems across the entire course. Understanding error bounds also helps you interpret the accuracy of results from linear regression and other statistical models you will encounter later. Mastering these basic error concepts helps you avoid common mark losses in both Paper 1 and Paper 2 exams.