# Probability VIs

LabVIEW 2011 Help

Edition Date: June 2011

Part Number: 371361H-01

»View Product Info

Owning Palette: Probability & Statistics VIs

Requires: Full Development System. This topic might not match its corresponding palette in LabVIEW depending on your operating system, licensed product(s), and target.

Use the Probability VIs to perform probability distribution and random number generation functions.

The VIs on this palette can return mathematics error codes.

Palette ObjectDescription
Continuous CDFComputes the continuous cumulative distribution function (CDF), or the probability that the random variate X, where X describes the selected distribution type, has a value less than or equal to x. You must manually select the polymorphic instance to use.
Continuous Inverse CDFComputes the continuous inverse cumulative distribution function (CDF) of the various distributions. You must manually select the polymorphic instance to use.
Continuous MomentsReturns the expected mean and variance of the random variate X, where X describes the selected distribution type. You must manually select the polymorphic instance to use.
Continuous PDFComputes the continuous probability density function (PDF) of various distributions. You must manually select the polymorphic instance to use.
Continuous RandomGenerates random values from a variate X, where X describes the selected distribution type. You must manually select the polymorphic instance to use.
Discrete CDFComputes the discrete cumulative distribution function (CDF), or the probability that the random variate X, where X describes the selected distribution type, takes on a value less than or equal to x. You must manually select the polymorphic instance to use.
Discrete Inverse CDFComputes 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.
Discrete MomentsReturns the expected mean and variance of the random variate X, where X describes the selected distribution type. You must manually select the polymorphic instance to use.
Discrete PFComputes the discrete probability function (PF), or the probability that the random variate X, where X describes the selected distribution type, takes on the value n. You must manually select the polymorphic instance to use.
Discrete RandomGenerates random values from a variate X, where X describes the selected distribution type. You must manually select the polymorphic instance to use.

Your Feedback!  Poor  |  Excellent    Yes No
 Document Quality?