0 and P(B) > 0, show that: P(A \cup B)
0 \text {, explain why: } \mathrm{E}(X)>(\mathrm{E}(\sqrt{X}))^{2} (e) When sampling from a Poisson distribution with rate parameter A, state thesampling distribution of X according to the central limit theorem, for large n. (f) In your own words, briefly explain what a p-value is. (g) A 4-by-2 contingency table results in a test statistic value of 6.724. Is this significantat the 5% significance level? (h) X and Y are identically distributed random variables. Suppose Var(X) = 4 and the correlation between X and Y is p = -0.5. Derive the covariance of X and Y.
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