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- Let X1, X2, ... be independent Cauchy random variables, each with PDF d f(x)= TT(d² +x?)' Show that A,= (X, +X2+•…+X„)/n has the same distribution as X,.https://ubs.ikc.edu.tr/MES/Application/Public/OnlineExam?examid=5604# - Opera VPN ubsikc.edu.tr/MES/Application/Public/OnlineExam 3. Soru 10 PO fx, (x) = 0.1 0.95- Ix, (2) = (")0.1"0.0"-, fx3 (x) = 0.5° Suppose that the random variable X is defined as X = 10(X-X2+X3) where the probability distributions of the independent2. Let X be a random variable with p.m.f., (1+ x? f(x) = -,x = -1,0,1,2,3 20 0 ,otherwise. Find E(3X2 + 6).
- 9An environmental engineer collected 10 moss and 10 lichen specimens. The engineer instructs a laboratory intern to randomly select 15 of the specimens. The probability mass function of the number of lichen specimens selected at random is: a) H (x; 15; 10; 20) b) P (x; 10) c) Bnegative (x, 10, 0.666) d) B (x, 10, 0.666)Let X1, X2,.., X, be independent identically distributed random variables with each X, having a probability mas function given byP(X; = 0) = 1-p P(X; = 1) = p, where Osps1. 1 EXj, then E(Y)= j = 1 Define the random variable Y = n Select one: а. 1 b. p C. 0 d.
- 9. Given that f(x, y) = (2x+2y)/2k if x = 0,1 and y = 1,4, is a joint probability distribution function for the random variables X and Y. Find: (f(x|y = 1)9. If X and Y are two random variables and let g(X) be a random variable. Show that (a) E[g(X) X=x] = g(x). (b) E[g(x)Y|X=x] = g(x) E[Y|X=x]. Assume that E[g(x)] and E[Y] exist.Show that if X E x²(m) and Y E x²(n) are independent random variables, then (X/m)/(Y/n) E F(m, n).