Deriving the variance of the Bernoulli distribution – math.stackexchange.com 01:17 Posted by Unknown No Comments For a Bernoulli distribution, $\mu_X = p$. I can easily derive this from the general equation for mean of a discrete random variable: $$ \mu_X=\sum_{i=1}^kx_iPr(X=x) $$ $$ \mu_X=1(p)+0(1-p)=p $$ I ... from Hot Questions - Stack Exchange OnStackOverflow via Blogspot Share this Google Facebook Twitter More Digg Linkedin Stumbleupon Delicious Tumblr BufferApp Pocket Evernote Unknown Artikel TerkaitC++ macro '##' doesn't work after '->' operator – stackoverflow.comHiding searchable content in PDF – tex.stackexchange.comHiding searchable content in a PDF – tex.stackexchange.comShowing that a function is one-to-one – math.stackexchange.comSwitching input voltage, with two 3,3V inputs – electronics.stackexchange.comWhat are the real physical risks of casual social media publishing? – security.stackexchange.com
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