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Expected Value of the Sum of n random variables with different variance

I am looking for a way to calculate the expected value of the sum of n random variables with varying variance.
The variance of each of these is chosen independently and with known probability distributions.
In case there is any confusion, these variables are independent but not identically distributed. (i.e. the variance does vary between these variables.)
Thanks in advance!

A:

This would be a typical exercise in discrete random variables.
Let $X_i\sim\mathcal{N}(\mu_i,\sigma_i^2)$, $i=1,\dots,n$.
$$
\operatorname{E} \left[\sum_{i=1}^n X_i\right] = \sum_{i=1}^n \operatorname{E}[X_i] = \sum_{i=1}^n\mu_i = \mu_1+\cdots+\mu_n\,.
$$

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