Problem 2. Let X be a continuous rv with edf if 2s s by F(s)-1-oof(x)dェtoe see...
For this question, let S be a sample space, and let RV be the set of {0, 1}-valued random variables. Let F : RV → (2^S) be given by F(X) := (X = 1). Let I : (2^S) → RV be the function that outputs the indicator variable for A on input A. Show that I and F are two-sided inverses. Note: 2^S denotes power set of S
3. X is a continuous RV with pdf f(x) and CDF F(x). a) Derive the dist of Y=F(X). b) Show that Z=-2ln(Y) has a Gamma dist. & derive it. 4. X_i ~ cont with pdf f_i(x) and CDF F_i(x), i=1, 2, ..., k. all independent. Define Y_i=F_i(X_i), i=1, ..., k. Derive the distribution of U=-2ln[Y_1.Y_2...Y_k].
(a) Let X be a continuous random variable with the cdf F(x) and pdf f(.1). Find the cdf and pdf of |X|. (b) Let Z ~ N(0,1), find the cdf and pdf of |Z| (express the cdf using ” (-), the cdf of Z; give the explicit formula for the pdf).
show steps thank you . Additional Problem 6. Let X be a continuous random variable with pdf f(x) = (z + 1), -1 x 2. (a) Compute E(X), the mean of X. (b) Compute Var(X), the variance of X (c) Find an expression for Fx(), the edf of X. (d) Calculate P(X > 0). (e) Compute the mean of Y, where Y (f) Find mp, the pth quantile of X X-1 X+1
Let X be a continuous RV with the following density function: f X ( x ) = { 2(1 − x ) , 0 < x < 1 0 , elsewhere a. Determine the cumulative distribution function for X , F X . b. Compute P ( X ≤ 0 . 5). c. Compute the mean of X , μ X . d. Compute the median of X . e. Compute the variance ( σ 2 X ) and standard...
2. LetX be a continuous RV uniformly distributed over [O . Let Y-sin(X). Find the pdf of Y
3. X is a continuous RV with pdf f(x) and CDF F(x). a) Derive the dist of Y=F(X) b) Show that Z=-21n(Y) has a Gamma dist. & derive it. 4. X-i ~ cont with pdf fi(x) and CDF Fi(x), i=1, 2, , k. all independent. Define YjaFi(Xi), i=1, , k. Derive the distribution of 3. X is a continuous RV with pdf f(x) and CDF F(x). a) Derive the dist of Y=F(X) b) Show that Z=-21n(Y) has a Gamma dist....
provided that tihe expettauIO 1.8.10. Let f(z) = 2r, 0 < z < i, zero elsewhere, be the pdf of X. (a) Compute E(1/X). (b) Find the edf and the pdf of Y 1/X c) Compute E(Y) and compare this result with the answer obtained in Part (a). provided that tihe expettauIO 1.8.10. Let f(z) = 2r, 0
2. Let X be a continuous random variable with pdf f(x) = { cr", [w] <1, f() = 0. Otherwise, where the parameter c is constant (with respect to x). (a) Find the constant c. (b) Compute the cumulative distribution function F(2) of X. (c) Use F(2) (from b) to determine P(X > 1/2). (d) Find E(X) and V(X).