Below you will find complete descriptions and links to 4 different analytics calculators for computing Error function-related values.

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Compute the complementary error function, given the limit of integration x. Knowing the area under the error function from x to positive infinity is often very important for analytics studies that need to consider probabilities from the normal or standard normal distributions.

Compute the error function (or Gauss error function), given the limit of integration x. Knowing values of the error function is often very important for analytics studies that need to consider probabilities from the normal or standard normal distributions.

Compute the value of the inverse complementary error function (or Gauss inverse complementary error function), given the limit of integration x. Knowing a value of the inverse complementary error function is often very important for analytics studies that involve the normal or standard normal distributions.

Compute the value of the inverse error function (or Gauss inverse error function), given the limit of integration x. Knowing a value of the inverse error function is often very important for analytics studies that involve the normal or standard normal distributions.