Error Function Calculator

Calculate erf(x), erfc(x), and the standard normal CDF from any input value.

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Enter a value Provide a numeric value for x above to compute erf(x), erfc(x), and related normal distribution values.

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Error function calculator: compute erf(x), erfc(x), and normal CDF values

An error function calculator computes the Gauss error function erf(x), the complementary error function erfc(x), the standard normal cumulative distribution function Φ(x), and its complement Q(x) for any input value.

The error function and normal distribution

The error function erf(x) is defined as the integral of the Gaussian function from 0 to x, scaled so that erf(∞) = 1. It appears throughout probability, statistics, and physics wherever normal distributions or diffusion processes arise.

The standard normal CDF Φ(x) is directly related to erf: Φ(x) = 0.5 × (1 + erf(x/√2)). This connection makes erf essential for computing probabilities from z-scores.

erf(x) = (2/√π) ∫₀ˣ e^(−t²) dt

Definition of the error function as a definite integral.

Φ(x) = ½[1 + erf(x/√2)]

Standard normal CDF in terms of the error function.

Frequently asked questions

What is the complementary error function?

erfc(x) = 1 − erf(x). It is useful when erf(x) is close to 1, since computing erfc directly avoids catastrophic cancellation in floating-point arithmetic.

Why is erf(0) = 0?

The integral from 0 to 0 is zero. The error function is an odd function: erf(−x) = −erf(x), so it passes through the origin.

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