   Evolution is progress—
progress is creativity.  # 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]

Tags: Statistics

Categories: Mathematics Software

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