Entropy 'a posteriori' of the channel is defined as the entropy of the input side without observing the output side? Select one: O True O False
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- Let Y > 0 be a continuous random variable representing time from regimen start to bone-marrow transplant. Everyone does not survive long enough to get the transplant. Let X > 0 be a continuous random variable representing time from regimen start to death. We can assume X ⊥ Y and model time to death as X ∼ Exp(rate = θ) and time to transplant as Y ∼ Exp(rate = µ). Where Exp(rate = λ) denotes the exponential distribution with density f(z | λ) = λe−λz for z > 0 and 0 elsewhere - with λ > 0. Find the probability that the patient would die before receiving transplant.The random variable X models the loss in thousands of dollars due to a fire in a commercial building. Its density function is f(x) = 0.005*(20-x) for 0 being less than or equal to x and x being less than or equal to 20 and f(x)= 0 otherwise. Given that a loss due to the fire exceeds $8000, find the probability the loss exceeds $16000.First a point is X selected at random from the interval (0,1). Then another point is selected at random from the interval (x,1) in such a way so that x+y>=1. Find the probability density function of y
- The life expectancy of a smartphone's battery X in days is a continuous random variable with probability density function fx=6x1-x for 0 ≤ q x ≤ q 1. Find the probability that a smartphone chosen at random will have a life expectancy exceeding 12 hours.Randomly choose a number X from the density f X ( x ) = x 8 for 0 ≤ x < 4 (and zero otherwise). If X < 2, toss a fair coin twice. Otherwise toss the coin once. Let N be the number of tails and let Y = X+N. Find P ( X < 2 | Y > 2.5 ).dtermine thevalue of c that makes the function f(x,y)=c(x+y) a joint probability density function over the range 0<x<3 and 0<y<3