# ERF

Formulas / ERF
Calculate the integral between lower_limit and upper_limit using the ERF function.
`ERF(lower_limit,[upper_limit])`
• lower_limit - required argument; sets the lower limit of the integral
• upper_limit - [OPTIONAL] sets the upper limit for the integral

## Examples

• `=ERF(0.74500)`

The Error Function integrated between 0 and 0.74500 can be calculated using the Sourcetable function. In this case, the result is 0.70792892.

• `=ERF(1)`

The Error Function integrated between 0 and 1 can also be calculated using the Sourcetable function. In this case, the result is 0.84270079.

## Summary

The ERF function is used to integrate the error function from a lower limit to an optional upper limit, with optional step size. It is an important tool for mathematical calculations.

• The ERF function is a Sourcetable function used to integrate between two values, a lower_limit and an upper_limit.
• The integration performed by the ERF function is exact, meaning it considers all the data points between the two limits.
• The ERF function is useful for computing areas under curves, or estimating the probability of a random variable falling within a certain range.

What is the ERF function?
The ERF function is used to calculate the error function integrated between lower_limit and upper_limit.
How many arguments does the ERF function accept?
The ERF function accepts two arguments: lower_limit and upper_limit.
Which argument of the ERF function is required?
The lower_limit argument is required.
Which argument of the ERF function is optional?
The upper_limit argument is optional. 