Given the t distribution with v df: T=Z/sqr((Y/v)) Also given that Z has standard normal distribution and Y is independent chi-square distributed variable with v df. My question is: find E(Z) and E(Z^2) given Z has a standard normal distribution
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Originally Posted by redwings6 Given the t distribution with v df: T=Z/sqr((Y/v)) Also given that Z has standard normal distribution and Y is independent chi-square distributed variable with v df. My question is: find E(Z) and E(Z^2) given Z has a standard normal distribution What does that have to do with a t or a chi-square? If Z has standard normal distribution then it has mean zero and a second moment=variance of one.
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