Problem #1. (a) (b) (a). Show that the following is a joint probability density function. In(x) ‚if0
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- 8)Let X1, X2, ..., Xn be a sample of n units from a population with a probability density function f (x I θ)=θxθ-1 , 0<x<1, θ>0 . According to this: Find the joint probability density function of the order statistics X(2), X(4), X(6) for n = 7.1. Let X have the probability density function f(x) = cx(1-2) for 0≤x≤ 1 and f(x) = 0 otherwise. (a) Show that c = 6. (b) Find the cumulative distribution function F(x) = P(X ≤ z). (c) Calculate P(.1 < X <5). (d) Find the mean, variance and standard deviation of X.[2] The joint probability density function of random variables X and Y is Scx, y²The cumulative distribution function of the continuous uniform distribution between con- stants a and b is given by F(x) = P(X ≤ x) = x-a - a x b (a) The probability density function is f(x) = F(r). Find the form of f(x). (b) Find the derivative of f(x) for x = [a, b]. Is f(x) decreasing, increasing or flat in this region? (c) Does f(x) have a single maximum in the region [a,b]? If so, what is it, or if not, why not?1. The length of time required by students to complete a one-hour exam is a random variable, X, with the probability density function given by f(x) = [cx²+x, 0≤x≤1 10, elsewhere (a) Find c. (b) Find F(x) (c) Use F(x) to find the probability that randomly selected student will finish in less than 45 minutes. (d) Find the probability that randomly selected student needs at least 15 minutes and will finish in less than 30 minutes. (e) Find μ and o.C, D, and ESuppose that X and Y have a joint probability density 7e-2-7y if x, y ≥ 0 otherwise (a) Verify that fx.y is indeed a probability density function. function given by fx.x (x, y)Q1. Random variables X and Y have joint Probability Density Function (PDF) fxx(x, y) = {2 - 1< x < y < 1 otherwises Find rx,y and E[e*+Y].a and b please