document.write( "Question 1197967: Let be the moment generating function for a random variable X. Which
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document.write( "of the following statements about are true?
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document.write( "I = 1
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document.write( "II for t=0 = Var(X)
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document.write( "III M_X(t) uniquely determines the probability distribution for X.
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Algebra.Com's Answer #848349 by onyulee(41)![]() ![]() ![]() You can put this solution on YOUR website! **I. M_X(0) = 1**\r \n" ); document.write( "\n" ); document.write( "* **True.** \n" ); document.write( " * By definition, the moment-generating function (MGF) of a random variable X is given by: \n" ); document.write( " * M_X(t) = E[e^(tX)] \n" ); document.write( " * When t = 0: \n" ); document.write( " * M_X(0) = E[e^(0*X)] = E[e^0] = E[1] = 1 \n" ); document.write( " * Since the expected value of a constant (1) is 1, M_X(0) always equals 1.\r \n" ); document.write( "\n" ); document.write( "**II. d^2 M_x(t)/dt^2 for t=0 = Var(X)**\r \n" ); document.write( "\n" ); document.write( "* **True.** \n" ); document.write( " * The second derivative of the MGF evaluated at t = 0 gives the variance of the random variable. \r \n" ); document.write( "\n" ); document.write( "**III. M_X(t) uniquely determines the probability distribution for X.**\r \n" ); document.write( "\n" ); document.write( "* **Generally True.** \n" ); document.write( " * If two random variables have the same moment-generating function, then they have the same probability distribution. \n" ); document.write( " * However, there are some rare exceptions where different distributions can have the same MGF in a small interval around t = 0.\r \n" ); document.write( "\n" ); document.write( "**In summary:**\r \n" ); document.write( "\n" ); document.write( "* **I and II are always true.** \n" ); document.write( "* **III is generally true, with some minor exceptions.**\r \n" ); document.write( "\n" ); document.write( "Let me know if you'd like to explore any of these points further! \n" ); document.write( " \n" ); document.write( " |