Difference between revisions of "Manuals/calci/ERF"
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==Examples== | ==Examples== | ||
− | #ERF(1,2)=0. | + | #ERF(1,2)=0.15262147206923793 |
− | #ERF(3,2)= | + | #ERF(3,2)=0.004655644484048649 |
− | #ERF(0,1)=0. | + | #ERF(0,1)=0.8427007929497148 |
#ERF(5)=0.9999999999984626 | #ERF(5)=0.9999999999984626 | ||
− | #ERF(-3)= | + | #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
- ERF(1,2)=0.15262147206923793
- ERF(3,2)=0.004655644484048649
- ERF(0,1)=0.8427007929497148
- ERF(5)=0.9999999999984626
- ERF(-3)=-0.9999779095030014
Related Videos
See Also
References