Binomial Distribution

Numbers returned by the brand primitive represent the number of successes in an experiment given the probability of an individual success and the number of trials. For example, the number of times heads comes up when you flip a coin 10 times. The result returned by brand is always an integer between 0 and the number of trials.

The brand primitive has the format

brand( probability, trials )

Probability Density Function for a node using the Binomial distribution with a probability per trial of 0.3 and number of trials equal to 8; brand(0.3,8).