##
GAUSS_CVF

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.

###
Calling Sequence

Result = GAUSS_CVF(*
P*
)

###
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.

###
Example

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. The result should be 1.95997.

PRINT, GAUSS_CVF(0.025)

IDL prints:

1.95997