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
Showing posts with label bernoulli trial. Show all posts
Showing posts with label bernoulli trial. Show all posts
Monday, February 23, 2009
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