Computes the discrete inverse cumulative distribution function (CDF), or the value x such that the probability that the random variate X, where X describes the selected distribution type, takes on a value less than or equal to it is cdf(x). You must manually select the polymorphic instance to use.


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When using the Bernoulli instance of the VI, X represents a Bernoulli-distributed variate with one of two possible outcomes: success (x = 1) or failure (x = 0). The Bernoulli probability parameter p is the probability of success of a single trial or experiment.

Examples

Refer to the following example files included with LabVIEW.

  • labview\examples\Mathematics\Probability and Statistics\Display Discrete Probability Distributions.vi