The error functions frequently occur in probability and statistics problems.


ERF(z) is the integral of the Gaussian distribution from 0 to z.  


ERF(z, w) is the generalized error function.  ERF(z, w) is defined as the integral of the Gaussian distribution from z to w.  ERF(z, w) simplifies to ERF(w) - ERF(z).


ERFC(z) is the complementary error function.  ERFC(z) simplifies to 1-ERF(z).


NORMAL(z, m, s) is the normal distribution function of z with mean m and standard deviation s.  m defaults to 0 and s defaults to 1.  This makes NORMAL(z) equivalent to the cumulative distribution function.


Other Built-in Functions and ConstantsBuilt_in_Functions_and_Constants 

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