Respuesta :
Answer:
attached below
Step-by-step explanation:
Assuming that Y1 and Y2 are independent exponential random variable with mean 3
where : U = Y1 + Y2 applying the property of exponential distribution sum of exponentials will follow a gamma distribution
i.e. ∝ = 2 , and β = 1
note : U = 2X
Hence probability distribution function X =
Fx (x) = p( X ≤ x )
= p( U ≤ 2x )
= Fu (2x)
probability density function X
f (x) = [tex]\frac{dF(2x)}{dx}[/tex] = 2 Fu (2x)
attached below is the remaining part of the solution

In this exercise we have to use probability knowledge to calculate the density of the function, so we have to:
[tex]f(u) \left \{ {{ue^u: u>0} \atop {0}} \right.[/tex]
[tex]f(x) \left \{ {{4xe^{-2x}: x>0} \atop {0}} \right.[/tex]
Assuming that [tex]Y_1[/tex] and [tex]Y_2[/tex] are independent exponential random variable where:
[tex]U = Y_1 + Y_2[/tex]
Applying the property of exponential distribution sum of exponentials will follow a gamma distribution, we have:
- [tex]\alpha = 2[/tex]
- [tex]\beta = 1[/tex]
- [tex]U = 2X[/tex]
Hence probability distribution function X , will be:
[tex]F_x (x) = p( X \leq x )\\= p( U \leq 2x )\\= F_u (2x)[/tex]
So we can say that:
[tex]f (x) = \frac{dF}{du} = 2 F_u (2x)[/tex]
See more about probability at brainly.com/question/795909