A Bernoulli trial is any experiment in which there can be only two outcomes, usually thought of as a success or failure.

Examples of this can be a coin flip, whether or not you pass a test, or the chances of catching the bus to school.

Assign a 1 to the chance of the event happening, and a 0 to it not happening.

Because discrete distributions have probabilities between 0 and 1, and cannot sum to more than one, a success is defined as p and a failure as 1-p

So the distribution of a Bernoulli trial is seen as

p(x)

0 = 1-p

1 = p

## Monday, February 23, 2009

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