ERF.PRECISE

Formulas / ERF.PRECISE
Return the error function.
`=ERF.PRECISE(x)`
• x - required argument, lower bound for integrating ERF.PRECISE

Examples

• `=ERF.PRECISE(0.745)`

The ERF.PRECISE function can be used to calculate the error function between 0 and a given value in Sourcetable. For example, the formula returns the error function between 0 and 0.74500.

• `=ERF.PRECISE(1)`

The ERF.PRECISE function can also be used to calculate the error function between 0 and 1. The formula returns the error function between 0 and 1.

Summary

The ERF.PRECISE function computes the integrated error function, providing an accurate and precise result.

• The ERF.PRECISE function takes an x argument that is the lower bound for integrating ERF.PRECISE.
• The x argument is required for the ERF.PRECISE function.
• The ERF.PRECISE function returns the error function.

What is the ERF.PRECISE Function?
The ERF.PRECISE Function is a statistical function which returns the error function (also known as the Gauss error function). This function is used in statistics to compute the probability that a random variable falls within a certain range.
What does the ERF.PRECISE Function do?
The ERF.PRECISE Function integrates error functions, which is a mathematical operation that calculates the area under a given curve. This integration is used to calculate the probability of a random variable falling within a certain range.
What are the benefits of using the ERF.PRECISE Function?
• The ERF.PRECISE Function provides a simple method of calculating the probability of a random variable falling within a certain range.
• The ERF.PRECISE Function can be used to calculate the probability of an event happening.
• The ERF.PRECISE Function is fast and reliable.
Are there any drawbacks of using the ERF.PRECISE Function?
The ERF.PRECISE Function is limited in its accuracy and may not be suitable for calculating probabilities in situations that require extremely precise calculations.