No measurement is perfect. The reported value of any measured quantity carries an unavoidable uncertainty, and a trained physicist always states the result with its error. Two words are often confused here. Accuracy describes how close a measurement is to the true value; precision describes how closely repeated measurements agree with one another and is set by the resolution of the instrument. A clock that is fast by exactly the same amount every reading is precise but not accurate; a worn ruler giving scattered readings near the truth is accurate on average but not precise.
Errors are classified as systematic (consistent, one-directional — instrument zero-error, faulty calibration, personal bias) and random (unpredictable scatter from uncontrolled fluctuations). Random errors are reduced by repeating the measurement and averaging.
Given $n$ readings $a_1, a_2, \\dots, a_n$, the best estimate is the mean $a_{\\text{mean}}$. The error in each reading is its absolute error $|\\Delta a_i| = |a_{\\text{mean}} - a_i|$, and their average is the mean absolute error $\\Delta a_{\\text{mean}}$. Two derived measures matter most:
When measured quantities are combined, their errors propagate by simple rules:
- Sums and differences: absolute errors add. If $Z = A \\pm B$ then $\\Delta Z = \\Delta A + \\Delta B$.
- Products and quotients: relative errors add. If $Z = \\dfrac{AB}{C}$ then $\\dfrac{\\Delta Z}{Z} = \\dfrac{\\Delta A}{A} + \\dfrac{\\Delta B}{B} + \\dfrac{\\Delta C}{C}$.
- Powers: the relative error is multiplied by the power. If $Z = A^p B^q / C^r$ then $\\dfrac{\\Delta Z}{Z} = p\\dfrac{\\Delta A}{A} + q\\dfrac{\\Delta B}{B} + r\\dfrac{\\Delta C}{C}$.
Significant figures are the digits in a measurement that are reliably known plus the first uncertain one. The rules: all non-zero digits count; zeros between non-zero digits count; leading zeros never count ($0.0025$ has two); trailing zeros count only when a decimal point is present ($2.500$ has four, but $2500$ is ambiguous). Scientific notation removes all ambiguity. In calculations, the result of a multiplication or division keeps as many significant figures as the least-precise factor, while addition or subtraction keeps as many decimal places as the term with the fewest.
Rounding off follows the standard rule: if the digit to be dropped is less than 5 round down, greater than 5 round up, and if it is exactly 5, round to make the preceding digit even (the "round-half-to-even" convention that avoids systematic bias).
Deeper Insight — your answer can never be more precise than your data: Students routinely copy down all eight digits a calculator displays. That is physically dishonest — if you measured a length to three significant figures, the fourth digit of any result computed from it is meaningless noise. The significant-figure rules are not arithmetic pedantry; they are how you keep your stated precision truthful. Pair them with the error rules and you can always answer the real question: not just "what is the value?" but "how much should I trust it?"