5.7, due on November 3

From my reading I'm not sure how useful a multivariate random variable appears to me. It seems like basically we're just performing the same math on more than one random variable at a time. What would make it interesting is if we saw multivariate random variables that contained dependent random variables inside them.

OK, I wrote the previous paragraph before reading the section on covariance. It makes a lot more sense to use multivariate random variables now... Some of the notation was confusing at the bottom of the first page, where it talks about the covariance in terms of the average value of the entire multivariate X. Also, I didn't follow how the covariance was reached from the expected value in Example 5.7.16, because I don't see E[X_B] or E[X_W] calculated anywhere.

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