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Unformatted text preview: ˜ F ( x ) = ( F X ( x )) 2 Is it the cdf of a random variable? If so, what is the corresponding pdf ˜ f ( x )? (vi) (4 pts.) Explain how, with the help of a biased coin with probabilities 3/5 and 2/5 for H and T respectively, you can use X to generate a random variable Y with pdf f Y ( x ) = 3 c 5 · x 2 ex/ 2 u ( x ) + 2 5 · δ ( x + 2) (where c is the value found in part (i))....
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This note was uploaded on 03/21/2010 for the course ENEE 324 taught by Professor Ephrimedes during the Fall '05 term at Maryland.
 Fall '05
 Ephrimedes

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