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Binomial Distribution

This lesson is part of NumPy · All levels

Summary

A binomial distribution describes the results of a number of independent experiments that have only two possibilities: successful or failed. A classic example is the correct number of numbers when tossing a coin or dice a few times.

Key points

Binomial(n, p, size): n experiments, p chances of success, size of sample number.
Each experiment is independent and only has two results (Bernoulli).
The mean distribution is n x p, the variance is n x p x (1 - p).
The bigger the n, the closer the distribution form is to normal.

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