Difference between revisions of "Manuals/calci/ERF"

 
(One intermediate revision by the same user not shown)
Line 24: Line 24:
  
 
==Examples==
 
==Examples==
#ERF(1,2)=0.15262153
+
#ERF(1,2)=0.15262147206923793
#ERF(3,2)=-0.004655645
+
#ERF(3,2)=0.004655644484048649
#ERF(0,1)=0.842700735
+
#ERF(0,1)=0.8427007929497148
 
#ERF(5)=0.9999999999984626
 
#ERF(5)=0.9999999999984626
#ERF(-3)=NAN
+
#ERF(-3)=-0.9999779095030014
  
 
==Related Videos==
 
==Related Videos==

Latest revision as of 04:11, 29 September 2021

ERF(a,b,accuracy)


  • is the lower limit and is the upper limit.
  • gives accurate value of the solution
    • ERF(), returns the Error Function.

Description

  • This function gives the value of the error function .
  • Error function is the special function which is encountered in integrating the normal distribution.
  • In  ,  is the lower limit of the integrating function and   is the upper limit of the integrating function.
  • Also   is optional. When we are omitting the   value, then the integral of the error function between 0 and the given   value is returned otherwise it will consider the given   and   values.
  • This function is also called Gauss error function.
  •  is defined by: 
  •  .
  • In this case   is the lower limit and   is the upper limit.
  • This function will return the result as error when
1.any one of the argument is non-numeric.
2.  or   is negative.

ZOS

  • The syntax is to calculate error function in ZOS is  .
    •   is the lower limit and   is the upper limit.
    •   gives accurate value of the solution.
  • For e.g.,ERF(2,3),ERF(2,3,0.001)

Examples

  1. ERF(1,2)=0.15262147206923793
  2. ERF(3,2)=0.004655644484048649
  3. ERF(0,1)=0.8427007929497148
  4. ERF(5)=0.9999999999984626
  5. ERF(-3)=-0.9999779095030014

Related Videos

Error Function

See Also

References

Error Function