Processing repeated direct measurements
- Mean: x̄ = Σxᵢ / n.
- Standard deviation: S = √(Σ(xᵢ − x̄)² / (n − 1)).
- Standard error of the mean: S_x̄ = S / √n.
- Outliers: the value farthest from the mean is checked with the Grubbs statistic G = |x − x̄| / S; if G exceeds the critical value for n, it is removed and everything is recalculated.
- Random error: ε = t(P, n) · S_x̄ with Student t (P = 0.95: n = 3 → 4.30; n = 5 → 2.78; n = 10 → 2.26; large n → 1.96).
- Instrument error θ — half a division, one division or from the accuracy class.
- Total: in lab courses usually Δ = √(ε² + θ²).
GOST R 8.736-2011 rule
If θ / S_x̄ < 0.8 the systematic part is neglected (Δ = ε), if > 8 the random part is neglected (Δ = θ); otherwise Δ = K · S_Σ with S_θ = θ / √3, S_Σ = √(S_θ² + S_x̄²), K = (ε + θ) / (S_x̄ + S_θ).
Rounding
Round the error to one significant digit (two if it starts with 1 or 2) and the result to the same place: not “2.00213 ± 0.0259 s” but (2.002 ± 0.026) s, P = 0.95. Relative error δ = Δ / x̄ · 100 %.
Propagation of uncertainty
For f(x₁, …, xₙ): Δf = √((∂f/∂x₁·Δx₁)² + … + (∂f/∂xₙ·Δxₙ)²). For a pendulum g = 4π²l/T²: δg = √(δl² + (2δT)²) — the period error counts twice. The calculator differentiates numerically and shows each contribution.