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GAUSS_CVF

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.

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



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