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1. Show that if Z1 and Z2 are independent standard normal random variables, then for all ρ (correlation), Z1 and ρZ1+sqrt(1-ρ2)*Z2 are standard normal with correlation ρ.
2. Show that for all ρ and v, T1 = (Z1)/sqrt(X/v)and T2 = (Z2)/sqrt(X/v) have correlation ρ, where Z1and Z2 are standard normal with correlation ρ, and X is independent of both Z1 and Z2 and has a Chi-Squared distribution. (for simplification use the fact that T1 and T2 both have the t distribution with v degrees of freedom and conditional expectations.)
(v=degrees of freedom)
Compute the correlation and sample covariance. Compute the sample covariance and the sample correlation. Intuitively, what kind of correlation.
On which test did he do better compared to the rest of the class?
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hat is sampling error? Could the value of the sampling error be zero? If it were zero, what would this mean? List the reasons for sampling. Give an example of each reason for sampling.
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Define the Linear programming problem (LPP)
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