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Obtain a vector simsums of simulated sample sums Use thi.pdf

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Obtain a vector sim.sums of (simulated) sample sums. Use this to compute Monte Carlo approximations to (a) Y = E(Y ), (b) 2Y = E(Y 2) [E(Y )]2 and (c) P(Y 45) Compare the approximations, using the R functions mean and var to calculate the mean (sample expectation) and sample variance, respectively, to the theoretical values computed earlier and comment. (You can state the theoretical value of the expectation without showing derivation.) use R.

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Obtain a vector sim.sums of (simulated) sample sums. Use this to compute Monte Carlo approximations to (a) Y = E(Y ), (b) 2Y = E(Y 2) [E(Y )]2 and (c) P(Y 45) Compare the approximations, using the R functions mean and var to calculate the mean (sample expectation) and sample variance, respectively, to the theoretical values computed earlier and comment. (You can state the theoretical value of the expectation without showing derivation.) use R

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Obtain a vector simsums of simulated sample sums Use thi.pdf

  • 1. Obtain a vector sim.sums of (simulated) sample sums. Use this to compute Monte Carlo approximations to (a) Y = E(Y ), (b) 2Y = E(Y 2) [E(Y )]2 and (c) P(Y 45) Compare the approximations, using the R functions mean and var to calculate the mean (sample expectation) and sample variance, respectively, to the theoretical values computed earlier and comment. (You can state the theoretical value of the expectation without showing derivation.) use R