Binomial distribution

Though this article tackles binomial distribution, a type of discrete probability distribution, it is rather focused on practical questions how to use matplotlib to construct such distributions.

Numpy offers four parameters that effect graphical appearance:

parameter	meaning	usage
p	probability	essential, to construct a probability distribution
n	sample size	essential, to construct a probability distribution
loc	origin	optional, the origin of the probability distribution default = 0
size	vector length	optional, size of the one dimensional array of random variables default=0 => no array but a single random variable is returned

[Error: Macro 'mathplot' error: mathplot() got an unexpected keyword argument 'title']

The probability mass function can be written:

[Error: Macro 'me' doesn't exist]

The cumulative probability function can be described by the equation:

[Error: Macro 'me' doesn't exist]