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Measurement Uncertainty Methods

Sep 9, 2025

Overview

This lecture explains how to estimate measurement uncertainty using two main methods and highlights their use in A-level practical exams.

Estimating Uncertainty with Multiple Readings

  • When measuring a quantity multiple times, estimate uncertainty using "half the range" of the values.
  • Half the range is calculated as (Maximum value - Minimum value) divided by 2.
  • This value represents the absolute uncertainty and is expressed in the same units as the measurement.
  • To report results, write the average value ± the calculated uncertainty (e.g., 2.50 ± 0.02 cm).
  • This method is commonly used in Paper 3 and Paper 5 practical exams.

Limitations of Half the Range Method

  • If using half the range gives an uncertainty of zero, this method cannot be used.

Estimating Uncertainty with a Single Reading

  • If only one reading is possible, estimate uncertainty based on the instrument's smallest reading or reasonable judgment.
  • For example, with a ruler measuring to 0.1 cm, uncertainty might be estimated as 0.1 cm or a slightly higher value if the object is irregular or soft.
  • This estimation is mostly used in Paper 3 practical exams.
  • Over time, experience and reviewing past papers will help improve estimation skills.

Reporting Measurements with Uncertainty

  • Measurements should be reported as: average value ± absolute uncertainty, with units given once at the end.

Key Terms & Definitions

  • Uncertainty — An estimate of how much a measured or calculated value might vary.
  • Absolute Uncertainty — The margin of doubt, given in the same units as the measurement.
  • Half the Range — (Maximum reading - Minimum reading) ÷ 2, used to estimate uncertainty with multiple measurements.

Action Items / Next Steps

  • Practice using both methods to estimate uncertainty in experiments.
  • Review past exam questions to familiarize yourself with acceptable uncertainty estimates.
  • Prepare for next lesson on interpreting uncertainty and assessing data validity.