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Fori 2 1, let X G1/2 be distributed Geometrically with parameter 1/2 Defin Vn Approximate P(-1 < < 2) with large enough n. Hint, note that Yn is not properly normalized 8414

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Answer #1

Here we need to use very large value of n ( sample size). Because geometric distribution is highly positively skewed.

So for verylarge n,we can use centrallimit theorem.

2 2 E) 2 (2 -2) xis are independent var ( X 2)for large n centhsal imi theorem. for lae 0. 818 595 this eccel commamd

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