The GAUSS_CVF function computes the cutoff value *V* in a standard Gaussian (normal) distribution with a mean of 0.0 and a variance of 1.0 such that the probability that a random variable *X* is greater than *V* is equal to a user-supplied probability *P*.

This routine is written in the IDL language. Its source code can be found in the file gauss_cvf.pro in the lib subdirectory of the IDL distribution.

## Examples

Use the following command to compute the cutoff value in a Gaussian distribution such that the probability that a random variable X is greater than the cutoff value is 0.025:

PRINT, GAUSS_CVF(0.025)

IDL prints:

1.95997

## Syntax

*Result* = GAUSS_CVF(*P*)

## Return Value

Returns the cutoff value *V* in a standard Gaussian (normal) distribution with a mean of 0.0 and a variance of 1.0.

## Arguments

### P

A non-negative single- or double-precision floating-point scalar, in the interval [0.0, 1.0], that specifies the probability of occurrence or success.

## Keywords

None.

## Version History

4.0 |
Introduced |

## See Also

CHISQR_CVF, F_CVF, GAUSS_PDF, T_CVF