Suppose that X is a continuous random variable whose pdf satis fx(a) = 0 for all a <0 and all a > 2. Prove that var(X) < 1.
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- Consider a function F (x ) = 0, if x < 0 F (x ) = 1 − e^(−x) , if x ≥ 0 Is the corresponding random variable continuous?Prove that for a continuous random variable X,E (aX+ b) = aE (X) + b.For any continuous random variables X, Y , Z and any constants a, b, show the following from the definition of the covariance:
- Let X and Y be two continuous random variables having joint pdffX,Y (x, y) = (1 + XY)/4, −1 ≤x ≤1, −1 ≤y ≤1.Show that X ^2 and Y ^2 are independent.Let X be a random variable with pdff(x) = 4x^3 if 0 < x < 1 and zero otherwise. Use thecumulative (CDF) technique to determine the pdf of each of the following random variables: 1) Y=X^4, 2) W=e^(-x) 3) Z=1-e^(-x) 4) U=X(1-X)