The random variable \(X\) is normally distributed with mean \(135\) variance \({{\sigma }^{2}}\).
\(X\) is related to a normal random variable \(Y\) by formula \(X={{Y}_{1}}+{{Y}_{2}}-4\), where \({{Y}_{1}}\) and \({{Y}_{2}}\) are two independent observations of \(Y\).


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