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-====== Bernoulli Distribution ======
-In probability theory and statistics, the Bernoulli distribution, named after Swiss scientist Jakob Bernoulli, is a discrete probability distribution, which takes value 1 with success probability p and value 0 with failure probability q = 1 - p. So if X is a random variable with this distribution, we have:
-Pr(X=1)=1-Pr(X=0)=1-q=p
-The probability mass function f of this distribution is
-f(x,p) =
-p, if x = 1
--p, if x = 0
-, otherwise
-The expected value of a Bernoulli random variable X is E(X)=p, and its variance is var(X)=p(1-p).
-The kurtosis goes to infinity for high and low values of p, but for p = 1/2 the Bernoulli distribution has a lower kurtosis than any other probability distribution, namely -5.
-The Bernoulli distribution is a member of the exponential family.
-support x = 0,…,n
-^Parameter^Description        ^Default value^
-|p        |Success probability|0.5          |

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