Let X ~ N(0,1), and let Y = 2X + 5. Compute P(Y <= 7)?
For two bivariate normal random variables X~N(0,1), Y~N(5,1), and CovX,Y=-0.5, answer the following questions: Compute P(Y>5|X=1) Compute P(Y>5|X=-1) Explain why the computed probability in b is greater than that in a. Compute P(2X-Y>-3).
Let X~N(0,1). What is the pdf of Y -1 + 2X?
7. Let X and Y be independent Gaussian random variables with identical densities N(0,1). Compute the conditional density of the random variable of X given that the sum Z = X + Y is known (i.e., XIX + Y)
8. Let X.(i-12) be independent N(0,1) random variables. a. Find the value of c such that P ( (X1 + X2尸/( X2-X)2 < c ) =.90 b. Find P(2 X1 -3 X21.5) c. Find 95th percentile of the distribution of Y-2X -3X2
Let X N(1,3) and Y~ N(2,4), where X and Y are independent 1. P(X <4)-? P(Y < 1) =? 4、 5, P(Y < 6) =? 7, P(X + Y < 4) =?
QUESTION 6 Compute the Taylor series of f(x)= sin 2x at Then show for the series above that linck; f(x) = 0 for each r QUESTION 7 Let f (x) =-x + 3, x E [0, 1] and let P be a partition of [0,1] given by 1 2 n-1 Calculate L(P) and U(P) and prove using these summations that f is Riemann integrable on [0, 1]. Also evaluate o f(x)dx.
Please explain Let Z N(0,1), and let X = max(Z, 0) 1. Find Fx in terms of Φ(t). Ís X a continuous random variable ? 2. Compute p(X0) 3. Compute E(X) . Find the PDF fxa(u) 5. Compute V(X) (Hint: use fxa found above Let Z N(0,1), and let X = max(Z, 0) 1. Find Fx in terms of Φ(t). Ís X a continuous random variable ? 2. Compute p(X0) 3. Compute E(X) . Find the PDF fxa(u) 5. Compute...
Q4) Let X and Y be two independent N(0,1) random variable and 10 ei Find the covariance of Z and W.WE3-Y Q4) Let X and Y be two independent N(0,1) random variable and 10 ei Find the covariance of Z and W.WE3-Y
and Y = X1. X1, X2-N(0,1) and are independent. Let Z = X² + X (a) Is Z useful to predict Y? (b) Is Y useful to predict Z?
Let X be exponentially distributed with parameter 3. a) Compute P(X > 6 | X > 2). b) Compute E(7e-12x+8+ 5). c) Let Y be independent from X. Suppose the PDF for Y is f(x) = 2x for 0 ≤ x ≤ 1 (and 0 else). Find the PDF of X + Y.