Consider two independent Bernoulli processes X₁ [n] and X2 [n] both have success probability 0.50. They are merged into one Bernoulli process and then later split into Y₁ [n] and Y₂[n] with equal success probabilities. What is the probability that Y₁[n] = 0 given that Y₂[n] = 0? Specify your answer correct up to four decimal places.
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- Repeat Example 5 when microphone A receives the sound 4 seconds before microphone B.Consider two independent Bernoulli processes X1 n] and X2[n] both have success probability 0.50. They are merged into one Bernoulli process and then later split into Y1[n] and Y2[] with equal success probabilities. What is the probability that Y1[n] = 0 given that Y2[n] = 0? Specify your answer correct up to four decimal places. Answer:Consider a random process x(t) = Acos(@t+0), where and are constants and 4 is a random variable with zero mean and variance o². Determine whether x(t) is a wide sense stationary process or not.
- Pedestrians approach a crossing from the left and right sides following independent Poisson processes withaverage arrival rates of λL = 5 and λR = 1 arrivals per minute. Each pedestrian then waits until a lightis flashed, at which time all waiting pedestrians must cross to the opposite side (either from left to right orfrom right to left). Assume that the left and right arrival processes are independent, that the light flashesevery T = 2 minutes, and that crossing takes zero time – it is instantaneous.1. What is the probability that in a particular crossing, there are total 10 pedestrian and they are allcrossing from left to right?Determine if the constant process X(t) = A where A is a random variables wiih mean? A and of is mean ergodic.If X is a Poisson variable such that P(X = 2) = 9P(X = 4) +90 P(X = 6), find the mean and variance of X.
- If X is a Poisson variable such that P(X =2) = 9P(X= 4) + 90P(X = 6), find the mean and variance of X.Consider a linear birth–death process where the individual birth rate is λ=1, the individual death rate is μ= 3, and there is constant immigration into the population according to a Poisson process with rate α. Please explain and show work! (a) State the rate diagram and the generator. (b) Suppose that there are 10 individuals in the population. What is the probability that the population size increases to 11 before it decreases to 9? (c) Suppose that α = 1 and that the population just became extinct. What is the expected time until it becomes extinct again? α in Greek letter alpha.tion 19.16. Random samples of 200 bolts manufactured by machine A and 100 bolts manufactured by machine B showed 19 and 5 defctive bolts respectively. Is there a significant difference between the performance of the two machines?
- The potholes in a long road occur as a Poisson process of rate 4 per mile. In other words, if we let R(t) = the number of potholes in the first t miles of the road then the random variables (R(t): t > 0) form a Poisson process of rate 4. What is the probability that there are 3 potholes in the first half mile of road? What is the probability that the distance between the first two potholes on the road is less that 1 mile?Let {N_1(t)} and {N_2(t)} be two independent Poisson processes with rates λ1=1 and λ2=2, respectively. Find the probability that the second arrival in N_1(t) occurs before the third arrival in N_2(t). Round answer to 4 decimals.The potholes in a long road occur as a Poisson process of rate 4 per mile. In other words, if we let R(t) = the number of potholes in the first t miles of the road then the random variables (R(t): t > 0) form a Poisson process of rate 4.