X~normal distribution
E(X)=0 ,V(X)=9
# for normal distribution
Where r=0,1,2......
=0+9
=9
Let X N(0, 9) have mean 0 and variance 9. Find the expected value of X2(X...
9 Let Xi, X2, ..., Xn be an independent trials process with normal density of mean 1 and variance 2. Find the moment generating function for (a) X (b) S2 =X1 + X2 . (c) Sn=X1+X2 + . . . + Xn. (d) An -Sn/n 9 Let Xi, X2, ..., Xn be an independent trials process with normal density of mean 1 and variance 2. Find the moment generating function for (a) X (b) S2 =X1 + X2 . (c)...
Let X-N (24,36) Y-N (48,64) A) Find the expected value and the variance of x+2y B)Find the probability that 2x+y > 50
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Let X be a normal random variable with mean 0 and variance 0.5 and Y be exponentially distributed with mean 1. Suppose X and Y are independent. Find P(Y>X2 ).
Let Xi, x,, ,X, be independent random variables with mean and variance σ . Let Y1-Y2, , Y, be independent random variables with mhean μ and variance a) Compute the expected value of W b) For what value of a is the variance of W a minimum? σ: Let W-aX + (1-a) Y, where 0 < a < 1. Let Xi, x,, ,X, be independent random variables with mean and variance σ . Let Y1-Y2, , Y, be independent random...
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Let X be a random variable with cdf FX (x:0), expected value EIX-μ and variance VlX- σ2. Let X1,X2, , Xn be an id sample drawn according to FX(x,8) where Fx (x,8) =万 for all x E (0,0). Let max(X1, X2, , X.) be an estimator of θ, suggested from pure common sense. Remember that if Y = max(X1, X2, , Xn). Then it can be shown that the cdf Fy () of Y is given by Fr(u) (Fx()" where...
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Problem 1 Let X be a RV with expected value E{X} = 0 and variance Var{x} = 1. In Chebyshev inequality, what integer value k will assure us that P{]X[ > k} = 0.01?