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.
Result = GAUSS_CVF(P)
Returns the cutoff value V in a standard Gaussian (normal) distribution with a mean of 0.0 and a variance of 1.0.
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.
None.
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
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4.0 |
Introduced |
CHISQR_CVF , F_CVF , GAUSS_PDF , T_CVF