A random variable X has the probability density fundion 1 x,2 < x< 5 5 1 5-x,5 < x <8 f(x)= - 0, otherwise Calculate: (a) E(X). (b) Var (X). (c) P(2 3X < 4).
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- Assume that the probability that an airplane engine will fail during a torture test is 12and that the aircraft in question has 4 engines. Construct a sample space for the torture test. Use S for survive and F for fail.Find 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.Consider a function F (x ) = 0, if x < 0 F (x ) = 1 − e^(−x) , if x ≥ 0 Is the corresponding random variable continuous?
- For any continuous random variables X, Y , Z and any constants a, b, show the following from the definition of the covariance:Let X be the amount of premium gasoline (in 1000 gallons) that a service station has in its tanks at the beginning of a day, and Y the amount that the service station sells during that day. If the joint density of X and Y is given byf (x, y) = 1/200, for 0 <y <x <20, use the distribution function techniques to find the probability density of the amount that the service station has left in its tanks at the end of the dayIf the probability density of X is given by f(x) =kx3(1 + 2x)6 for x > 00 elsewhere where k is an appropriate constant, find the probabilitydensity of the random variable Y = 2X 1 + 2X . Identify thedistribution of Y, and thus determine the value of k.
- If the probability density function of a continuous random variable X is f(x) =⎧ kx2 0 ≤ x ≤ 2⎨⎩ 0 otherwise then k is what? A. 2B. .25C. .375D. any positive value greater than 2Use the moment generating function technique to solve. Let X1, . . . , Xn be independent random variables, such that Xi ∼ Exponential(θ), for i =1, . . . , n. Find the distribution of Y = X1 + · · · + Xn.Find μ,μ 2, and σ2 for the random variable X that has the probability density f(x) =⎧⎪⎨⎪⎩x2for 0 < x < 20 elsewhere
- A continuous random Variable X has probability Density function defined by f(x) = 5-5x; 0Verify that p(x) = 3x - 4 is a probability density function on [1, oo)and calculate its mean value.Find the joint probability density of the two randomvariables X and Y whose joint distribution function isgiven byF(x, y) = (1 − e−x2)(1 − e−y2) for x > 0, y > 00 elsewhere