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For This Question You May Assume That Linear Combinations of Normal

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For this question you may assume that linear combinations of normal variates are themselves normally distributed. Let a, b, and c be non-zero constants.
(a)X and Y are independently distributed as N(a, σ2). What is the distribution of (bX+cY)?
(b)If X1,..., Xn are distributed i.i.d. as N(a, σX2\sigma _ { X } ^ { 2 } ), what is the distribution of 1n\frac { 1 } { n } i=1nXi\sum _ { i = 1 } ^ { n } X _ { i } ?
(c)Draw this distribution for different values of n. What is the asymptotic distribution of this statistic?
(d)Comment on the relationship between your diagram and the concept of consistency.
(e)Let Xˉ\bar { X } = 1n\frac { 1 } { n } i=1nXi\sum _ { i = 1 } ^ { n } X _ { i } What is the distribution of n\sqrt { n } ( Xˉ\bar { X } - a)? Does your answer depend on n?

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(a)E(bX + cY)= bE(X)+ cE(Y)= a(b + c); v...

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