Property #3 is from the assigned Stock & Watson. You are right to question it; it is not true in general. In general zero correlation/covariance does not imply independence. But here:
"If X and Y are jointly normally distributed, then the converse is also true. This result--that zero covariance implies independence--is a special property of the multivariate normal distribution that is not true in general."
(you were just commenting on the critical Z table-yes? no problem with it?)
This site uses cookies to help personalise content, tailor your experience and to keep you logged in if you register.
By continuing to use this site, you are consenting to our use of cookies.