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(b)
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- X is a random variable that has the following PDF function: fx(x) = 0.28(x + 2) + 0.38(x + 1) + 0.358(x) + 0.158(x – 1) %3D For y = x2, find: 1- fy) 2- Fy(y) 3- E[y] 4- oarrow_forward1. Let X be a random variable having pdf f(x) = 6x(1 – x) for 0 < I < 1 and 0 elsewhere. Compute the mean and variance of X. 2. Let X1, X2,..., X, be independent random variables having the same distribution as the variable from problem 1, and let X, = (X1+ ·.+Xn). Part a: Compute the mean and variance of X, (your answer will depend on n). Part b: If I didn't assume the variables were independent, would the calculation in part a still work? Or would at least part of it still work? 3. Suppose that X and Y are both independent variables, and that each has mean 2 and variance 3. Compute the mean and variance of XY (for the variance, you may want to start by computing E(X²Y²)). 4. Suppose that (X,Y) is a point which is equally likely to be any of {(0, 1), (3,0), (6, 1), (3, 2)} (meaning, for example, that P(X = 0 and Y = 1) = }). Part a: Show that E(XY) = E(X)E(Y). Part b: Are X and Y independent? Explain. 5. Let X be a random variable having a pdf given by S(2) = 2e-2" for 0arrow_forwardThe p.d.f. of a random variable X' is as shown in the figure. The pdf is zero for X 5. Calculate (i) the maximum value of p.d.f. (ii) expectation of X, E(X) (iii) variance of X. fx (x) karrow_forwarda) Let X1,..., Xn be iid with pdf f(x;0) the method of moments estimator of 0, and calculate its mean and variance. Is the method 1/0 for 0 0. Find of moments estimator unbiased for 0? Let X1,..., Xn be iid with pdf f(x;0) = 0xº-1 for 0 0. Find the method of moments estimator of 0. b) c) Let X1,..., Xn be iid with pmf P(X = x) = 0"(1 – 0)1-¤ for x = 0 or 1, and 0 < 0 < 1/2. Find the method of moments estimator of 0, and calculate its mean squared error.arrow_forwardLet X and Y be random variables with Var(X)=0.64, Var(Y)=0.81, and Cov(X,Y) = 0.5. Find each of the following to two decimal places (if applicable). (a) Coefficient of correlation p(X, Y) 0.694 (b) Var(3X + Y + 1)|| (c) Cov(-2Y, 3X+Y+1) (d) p(−2Y, 3X + Y + 1) ☐arrow_forwardB) Let the random variable X have the moment generating function e3t M(t) for -1arrow_forwardarrow_back_iosSEE MORE QUESTIONSarrow_forward_iosRecommended textbooks for you
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