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We have given, random variable Y is Gaussian with mean µ and variance σ 2 Define X = ey We first find cumulative distributive function X = e y As follows X > 0 F X (x) = P[ X ≤ x ] = P [ey…

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We have given, random variable Y is Gaussian with mean µ and variance σ 2
Define X = ey
We first find cumulative distributive function X = e y
As follows X > 0 F X (x) = P[ X ≤ x ]
= P [ey…

 
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