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Bernoulli Distribution


A Bernoulli distribution has to satisfy the following conditions: 

  • the outcome of an experiment is binary (only two possible values)
  • the N trials are independent of each other
  • the probabilities of the outcomes remain constant
Graphical View
Applications Bernoulli distributions are observed when a random process has exactly two outcomes, as in quality assurance, where a product may be classified as good or bad. 
First Moment E(x) = p
Second Moment VAR(x) = p(1-p)

Last Update: 2005-Jul-16