Fundamentals of Statistics contains material of various lectures and courses of H. Lohninger on statistics, data analysis and here for more.

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
Graphic Representation
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. 
Mean E(x) = p
Variance VAR(x) = p(1-p)