Table Of Contents
Discrete Moments (Hypergeometric) (G Dataflow)
Returns the mean and variance of a hypergeometric-distributed variate.
A hypergeometric-distributed variate represents the number of successes when n items are drawn from a population of size m that contains k successes.
m
Number of elements in the population.
Default: 100
k
Number of successes in the population.
k must be less than m.
Default: 30
n
Number of items drawn without replacement.
n must be less than or equal to m.
Default: 20
error in
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
mean
Expected mean of the variate.
variance
Expected variance of the variate.
error out
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.
Where This Node Can Run:
Desktop OS: Windows
FPGA: This product does not support FPGA devices