Please note javascript is required for full website functionality.
MVP

Blog

A to Z of Excel Functions: the ERFC.PRECISE Function

7 December 2018

Welcome back to our regular A to Z of Excel Functions blog.  Today we look at the ERFC.PRECISE function.

 

The ERFC.PRECISE function

In mathematics, the error function (also called the Gauss error function or ERF) is a special, non-elementary function that occurs in probability, statistics and partial differential equations describing diffusion.  It is defined as:

In statistics, for nonnegative values of x, the error function has the following interpretation: for a random variable Y that is normally distributed with mean 0 and variance 1/2, ERF(x) describes the probability of Y falling in the range [−x, x].

The complementary error function, denoted by ERFC(x), is defined as

This function returns the complementary ERF function integrated between x and infinity.

This function returns the complementary ERF function integrated between x and infinity.  This function is similar to the ERFC function and was introduced into Excel 2010 for compatibility reasons. 

The ERFC.PRECISE function employs the following syntax to operate:

ERFC.PRECISE(x)

The ERFC.PRECISE function has the following arguments:

  • x: Required. The lower bound for integrating ERFC.PRECISE.

It should be further noted that:

  • if x is nonnumeric, ERFC.PRECISE returns the #VALUE! error value.

Please see my example below: 

We’ll continue our A to Z of Excel Functions soon.  Keep checking back – there’s a new blog post every business day.

 

A full page of the function articles can be found here

Newsletter