Approximations and Errors
Interactive curriculum lessons, worked examples, and geometric problem-solving techniques designed to help Kenyan students master CBC, KPSEA, KCSE, and IGCSE mathematics.
First Principles
Objective: Round numbers to given decimal places or significant figures and calculate absolute, relative, and percentage errors.
Concrete scenario: You are at a local duka in Machakos buying three items priced at KSh 47.85, KSh 32.15, and KSh 18.40. You quickly estimate the total by rounding each price to the nearest ten shillings: \(50 + 30 + 20 = 100\) KSh. The cashier's till, however, calculates the exact sum as KSh 98.40. The difference of KSh 1.60 is the error introduced by rounding. Approximations speed up mental calculation, but knowing the bounds of our error ensures we do not run short of cash!
Geometric insight: Picture a standard metre ruler. When a length is rounded to the nearest centimetre (\(0.01\text{ m}\)), it is snapped to the nearest tick mark. The true measurement could lie anywhere from half a division below to half a division above that tick. Therefore, the maximum possible absolute error is always half of the smallest measuring unit (\(\frac{1}{2} \times 10^{-n}\)).
Algebraic rules:
- Absolute Error (\(E_{abs}\)): \(E_{abs} = |x_{true} - x_{approx}|\) or \(|\text{measured} - \text{actual}|\).
- Relative Error (\(E_{rel}\)): \(E_{rel} = \frac{E_{abs}}{|x_{true}|}\). This gives error as a proportion of the true value.
- Percentage Error (\(E_{\%}\)): \(E_{\%} = E_{rel} \times 100\%\).
Key Formulas
Absolute Error: The magnitude of the numerical difference between the true value and its approximation. It always has the same units as the measured quantity and is strictly non-negative.
Relative Error: Dimensionless ratio that measures how significant an error is relative to the total quantity being measured.
Percentage Error: The relative error expressed as a percentage.
Tolerance / Maximum Error: For a measurement rounded to \(n\) decimal places, unit of precision is \(10^{-n}\), giving a maximum error of \(\pm 0.5 \times 10^{-n}\).
Measurement Limits: The true value \(X\) lies in the interval \(x - E_{abs} \le X < x + E_{abs}\).
Worked Examples
- Calculate Absolute Error: \[E_{abs} = |x_{true} - x_{approx}| = |48.7 - 50.0| = 1.3\text{ kg}\]
- Calculate Relative Error: \[E_{rel} = \frac{E_{abs}}{x_{true}} = \frac{1.3}{48.7} \approx 0.026694\]
- Calculate Percentage Error: \[E_{\%} = 0.026694 \times 100\% \approx 2.67\%\]
- Find the maximum absolute error: \[\text{Unit of precision} = 0.1\text{ m} \implies E_{abs} = \frac{0.1}{2} = 0.05\text{ m}\]
- Determine the limits (bounds): \[\text{Lower Bound} = 12.4 - 0.05 = 12.35\text{ m}\] \[\text{Upper Bound} = 12.4 + 0.05 = 12.45\text{ m}\] Thus, \(12.35\text{ m} \le \text{Length} < 12.45\text{ m}\).
- Calculate maximum percentage error: \[E_{\%} = \frac{0.05}{12.4} \times 100\% \approx 0.403\%\]
- State limits for each dimension: \[\text{Length } L: 19.5\text{ m} \le L < 20.5\text{ m}\] \[\text{Width } W: 9.5\text{ m} \le W < 10.5\text{ m}\]
- Nominal Area: \[A_{nominal} = 20 \times 10 = 200\text{ m}^2\]
- Find maximum and minimum areas: \[A_{max} = 20.5 \times 10.5 = 215.25\text{ m}^2\] \[A_{min} = 19.5 \times 9.5 = 185.25\text{ m}^2\]
- Determine the maximum difference from nominal: \[|A_{max} - A_{nominal}| = |215.25 - 200| = 15.25\text{ m}^2\] \[|A_{min} - A_{nominal}| = |185.25 - 200| = 14.75\text{ m}^2\] Maximum absolute error in area is \(15.25\text{ m}^2\).
- Calculate maximum percentage error: \[E_{\%} = \frac{15.25}{200} \times 100\% = 7.625\%\]
Common Mistakes
Real World
Practice