Suppose that X1 and X2 are independent standard normal random variables. Show that Z = X1 + X2 is a normal random variable with mean 0 and variance 2.
Given:
X1 is Standard Normal Variate. So, Probability Density Function of X1 is given by:
X2 is Standard Normal Variate. So, Probability Density Function of X2 is given by:
The Probability Density Function of
Z = X1 + X2 is given by Convolution Theorem as follows:
The expression in the brackets = 1, since it is the integral of the Normal Density Function with = 0 and = .
So,
we have:
This proves the required result that Z = X1 + X2 is a normal random variable with mean 0 and variance 2.
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