Bernoulli Distribution
The Bernoulli distribution has an outcome space of two events {0, 1}, one of which happens with probability 1-p and the other which happens with probability p.
A real-world system this distribution can model is a coin flip. Here, the two outcomes are heads (represented by 1) and tails (represented by 0). If the coin is fair, then p = 0.5.
Which of the following can be reasonably modeled by the Bernoulli distribution?
(a) Rolling a 6-sided die
(b) Passing or failing your driver test
(c) The weather tomorrow
(b) is the correct answer because the outcome of a driving test is always either a pass or a fail. (a) and (c) both have outcome spaces that have more than two events in them; the die has six outcomes and the weather can be sunny, rainy, cloudy, snowy, etc. The Bernoulli distribution is not a good fit for these systems.
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