Bernoulli Distribution

• Only two possible outcomes

• PMF : $Pr(y|\lambda )=\{\begin{array}{ll}1-\lambda ,& \text{for i = 1}\\ \lambda ,& \text{for i =2}\end{array}=(1-\lambda {)}^{1-y}\cdot {\lambda }^y$

• Given : Data - $x_1,..,x_N$ and $x_i\in s_1,s_2$ then $\hat{q}=\frac{1}{N}|\{i|x_i=s_2\}$

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