Calculates the mean and variance of a chi-squared-distributed variate.
A chi-squared variate with k degrees of freedom is the distribution of the sum of k squared, independent, standard normal random variables.
Number of degrees of freedom of the random variable.
This input must be greater than 0.
Default: 1
Error conditions that occur before this node runs.
The node responds to this input according to standard error behavior.
Standard Error Behavior
Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.
Default: No error
Expected mean of the random variable.
Expected variance of the random variable.
Error information.
The node produces this output according to standard error behavior.
Standard Error Behavior
Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.
This node uses the following equations to calculate the mean and variance of a chi-squared-distributed variate.
where k is the degrees of freedom of the random variable.
Where This Node Can Run:
Desktop OS: Windows
FPGA: Not supported
Web Server: Not supported in VIs that run in a web application