(a) A continuous random variable X is distributed according to a probability den- sity function (pdf) fx(x) = c (1+ x), -1
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- A continuous random Variable X has probability Density function defined by f(x) = 5-5x; 0Consider a function F (x ) = 0, if x < 0 F (x ) = 1 − e^(−x) , if x ≥ 0 Is the corresponding random variable continuous?For the continuous probability function f(x ) = kx^2e^-x when 0≤x≤1. Find (a)k (b)mean (c)variance
- Find the conditional expectation E(Y/X=0.47) if the joint probability density function of the random variable X and Y isf(x, y) = 1/x, 0 < y ≤ x ≤ 1.suppose x has an exponential distribution with probability density function f(x) =2e^-2x, x>0. Then P(X>1)Two random variables X and Y with a joint PDF f(x,y) = Bx+y for 0≤ x ≤6 , 0≤ x ≤7 and constant B Find value of constant B
- If X is a continuous variable in the range 3 > X > 0 and its distribution function is as follows: F ( x ) = k : ( x3 + x2) find the probability density function?1)Let x be a random variable Gaussian with zero mean and variance 1. Find:a)The conditional pdf and pdf of x given x > 0;b)E [ x| x>0 ]c)Var [ x | x >0]What is the variance of a continuous probability distribution function with the probability density function f(x) = 4(x-1)^2 for 0 < x < 2?
- A continuous random variable has probability density function given by K(2x-3);1<x2 Find k if f(x) is a probability density functionFind the moment-generating function of the continuous random variable X whose probability density is given by f(x) = 1 for 0 < x < 1 0 elsewhere and use it to find μ’1,μ’2, and σ^2.One of the important properties of the probability density function , f(x) , of a random variable X is f(x) >= 0 , for all values of X. A) true B) false