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Unformatted text preview: metimes we refer to the expected value as the expectation, the mean, or the first moment. It is usually denoted by µX For any function, say g (X ), we can also find an expectation of that function. It is Random Variable (r.v.) Expected Value Variance g (x ) × pX (x ) E[g (X )] = x Ex E[X 2 ] = x 2 × pX (x ) x 10.4 Notes Expected Value and Variance Properties of expected value Notes Let X and Y be discrete r.v.s defined on the same sample space and having finite expectation (i.e. E[X ], E[Y ]...
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This note was uploaded on 01/24/2014 for the course STAT 225 taught by Professor Martin during the Spring '08 term at Purdue University-West Lafayette.

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