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Login to be the first to rate this puzzle!. S q ±0d b e È _ P K Z b È/Õ @3M ö I r M \ ²%4 c65 _7H } N _ ' K S u%Á b @ P x 1¤ Ê b ?. 3 Conditional probability & independence Conditional Probabilities • Question How should we modify P(E) if we learn that event F has occurred?.

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The partition theorem says that if Bn is a partition of the sample space then EX = X n EXjBnP(Bn) Now suppose that X and Y are discrete RV’s If y is in the range of Y then Y = y is a event with nonzero probability, so we can use it as the B in the above. K A ¬ Q#Ý K Z È b È } ¬. Ô Z ß & ÷ Õ v O Q ÷ % J.

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Ie, Z(G) is closed;;. • Derivation Suppose we repeat the experiment n times Let n(E ∩ F) be the number of times that both E and F occur, and n(F) the number of times F occurs • The proportion of times E occurs only counting trials where F occurs is. Ç Ô D Ô¢ T !£ Ç Ô M O Où X ¿ ¦Í í±t< w { G ÖwOQ !è z qq t ZX i^M.

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