Question: Suppose that x _ ( i ) N ( mu , sigma ^ ( 2 ) ) , i = 1 , dots,n

Suppose that x_(i)N(\mu ,\sigma ^(2)),i=1,dots,n and Z_(i)N(0,1),i=1,dots,k, and all variables are independent. State the distribution of each of the following variables if it is a "named" distribution or otherwise state "unknown." (a) x_(1)-x_(2)(i)(Z_(1)^(2))/(Z_(2)^(2))(b) x_(2)+2x_(3)(j)(Z_(1))/(Z_(2))(c)(x_(1)-x_(2))/(\sigma S_(Z)\sqrt(2))(k)((\bar{x}))/(/bar (/bar (Z)))(d) Z_(1)^(2)(l)(\sqrt(nk)((\bar{x})-\mu ))/(\sigma \sqrt(\sum_(i=1)^k Z_(i)^(2)))(e)(\sqrt(n)((\bar{x})-\mu ))/(\sigma S_(z))(m)(\sum_(i=1)^n (x_(i)-\mu )^(2))/(\sigma ^(2))+\sum_(i=1)^k (Z_(i)-(/bar (Z)))^(2)(f) Z_(1)^(2)+Z_(2)^(2)(n)((\bar{x}))/(\sigma ^(2))+(\sum_(i=1)^k Z_(i))/(k)(g) Z_(1)^(2)-Z_(2)^(2)(o)(k)/(b)ar (Z)^(2)(h)(Z_(1))/(\sqrt(Z_(2)^(2)))(

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