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 Object | Description |
|---|---|
| Continuous CDF | Computes 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 CDF | Computes the continuous inverse cumulative distribution function (CDF) of the various distributions. You must manually select the polymorphic instance to use. |
| Continuous Moments | Returns 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 PDF | Computes the continuous probability density function (PDF) of various distributions. You must manually select the polymorphic instance to use. |
| Continuous Random | Generates random values from a variate X, where X describes the selected distribution type. You must manually select the polymorphic instance to use. |
| Discrete CDF | Computes 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 CDF | 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. |
| Discrete Moments | Returns 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 PF | Computes 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 Random | Generates random values from a variate X, where X describes the selected distribution type. You must manually select the polymorphic instance to use. |