Table Of Contents
Discrete CDF (Binomial) (G Dataflow)
Computes the discrete cumulative distribution function (CDF), the probability that a binomial-distributed variate takes on a value less than or equal to the value you specify.
A binomial-distributed variate represents the number of successes in a sequence of independent Bernoulli trials.
x
Number of successes in the independent Bernoulli trials.
This input must be in the interval [0, n].
Default: 0
n
Number of independent Bernoulli trials.
Default: 100
p
Probability of success of each Bernoulli trial.
p must be in the interval [0, 1].
Default: 0.02
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
cdf(x)
Cumulative probability that the continuous random variable has a value less than or equal to x.
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: Not supported
Web Server: Not supported in VIs that run in a web application