Standard Deviation and Tolerance Interval Estimator

Standard deviation and tolerance interval estimator

Convert a symmetric ±3σ dimensional tolerance into an implied standard deviation and a central normal-probability interval.

selected unit

Enter the positive distance from nominal to either ±3σ tolerance limit.

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How to use

  1. This calculator has one mode: a symmetric central normal interval derived from a specified ±3σ dimensional tolerance.
  2. Enter nominal size D and choose its length unit. D may be any finite datum appropriate to the dimension.
  3. Enter positive tolerance half-width A in the same unit. A is the distance from nominal to either specified tolerance limit, not the full tolerance width.
  4. Enter central probability R strictly between 0% and 100%.
  5. Select Calculate to update σ, z, interval half-width T, and the lower and upper limits. Select Reset to restore D = 20 mm, A = 0.02 mm, and R = 90%.
  6. Read all dimensional outputs in the selected unit. A green message confirms a valid result; correct any red warning before interpretation.
  7. Do not use this model when the ±3σ convention is not justified, or for asymmetric, shifted, mixed, censored, or strongly non-normal processes. It is not a sample-based confidence interval or a finite-sample statistical tolerance interval.

Equations used

Let D be nominal size, A the positive tolerance half-width assumed to equal 3σ, σ the implied process standard deviation, R the requested central probability in percent, and p the probability in each tail.

σ = A/3;   p = (1 − R/100)/2
w = √[−2 ln(p)]
zR = w − (a₁ + a₂w)/[1 + w(a₃ + a₄w)]

The approximation constants are a₁ = 2.30753, a₂ = 0.27061, a₃ = 0.99229, and a₄ = 0.04481. The displayed z value is rounded to four decimals; interval calculations retain the unrounded value.

T = zRσ;   Llower = D − T;   Lupper = D + T

Definitions, units, and limits: D, A, σ, T, Llower, and Lupper share the selected length unit; R is percent; p and zR are dimensionless. Sign convention: A, σ, zR, and T are positive magnitudes; the lower and upper offsets are −T and +T. The model assumes an independent normal process centred at D and a tolerance half-width equal to three standard deviations.

Method notes and reference

The ±3σ assumption assigns approximately 99.73% of a centred normal population to the full engineering tolerance D ± A. Choosing a different R reports a narrower or wider central interval inside that assumed distribution. Confirm the process centre and spread with measured data before design or acceptance decisions.