a)Random Variable: It is a function from your sample space to the reals. Every random variable has a domain—the set of possible values it can take on. Example: http://imgur.com/83A0S7S ---- b)Marginalization: The process of suming up the probabilities for each possible value of the other variables, thereby taking them out of the equation. Example: http://imgur.com/83A0S7S ---- c)Baye's Rule: Bayes' rule relates the odds of event to the odds of event , before (prior to) and after (posterior to) conditioning on another event. P(b|a) = (P(a|b)P(b))/(P(a)). Example: http://imgur.com/EfTvjAe ---- Bruno Lopes 009977838 Dakota Polenz 007879664 Steve Wang 007060677 Andrew Vinh 007414485