The random variables W1, W2,... are independent with common distribution k 1 2 3 4 Pr( W = k) 0.1 0.3 0.2 0.4 Let Xn max (W1,..., Wn) be the largest W observed to date. Determine the transition probability matrix for the Markov chain {Xn}.
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- 12. Robots have been programmed to traverse the maze shown in Figure 3.28 and at each junction randomly choose which way to go. Figure 3.28 (a) Construct the transition matrix for the Markov chain that models this situation. (b) Suppose we start with 15 robots at each junction. Find the steady state distribution of robots. (Assume that it takes each robot the same amount of time to travel between two adjacent junctions.)According the Ghana Statistical Service data collected in 2020 shows that, 5% of individuals living within the city move to the rural areas during a one-year period, while 4% of individuals living in the rural areas move to the city a one-year period. Assuming that, this process is modeled by a Markov process with two states: city and rural areasa) i. Prepare the matrix of transition probabilitiesii. Compute the steady-state probabilities.iii. In a particular District, 40% of the population lives in the city, and 60% of the population lives in the suburbs. What population changes do your steady-state probabilities project for this metropolitan area?Suppose that a production process changes state according to a Markov chain on [25] state space S = {0, 1, 2, 3} whose transition probability matrix is given by a) Determine the limiting distribution for the process. b) Suppose that states 0 and 1 are “in-control,” while states 2 and 3 are deemed “out-of-control.” In the long run, what fraction of time is the process out-of-control?
- From yrs of teaching experience , an english teacher knows that her student's score will be va random variabel between variance = 25 adn mean = 75 how many students in general ,would have to take exam with a probability of atleast 0.9 , such that the class average would be within 5 of 75 dont use CLT , use markov /ChevyshevData collected from selected major metropolitan areas in the eastern United States show that 3% of individuals living within the city limits move to the suburbs during a one-year period, while 1% of individuals living in the suburbs move to the city during a one-year period. Answer the following questions assuming that this process is modeled by a Markov process with two states: city and suburbs. (a) Prepare the matrix of transition probabilities. To From City Suburbs City Suburbs (b) Compute the steady-state probabilities. (Enter your probabilities as fractions.) City?1= Suburbs?2=The computer center at Rockbottom University has been experiencing computer downtime. Let us assume that the trials of an associated Markov process are defined as one-hour periods and that the probability of the system being in a running state or a down state is based on the state of the system in the previous period. Historical data show the following transition probabilities. To From Running Down Running 0.80 0.20 Down 0.30 0.70 (a) If the system is initially running, what is the probability of the system being down in the next hour of operation? (b) What are the steady-state probabilities of the system being in the running state and in the down state? (Enter your probabilities as fractions.) Running?1=Down?2=
- Find the vector of stable probabilities for the Markov chain whose transition matrix isDetermine the probability transition matrix ∥Pij∥ for the following Markov chains. Pleaseprovide the solutions step by step and provide a short explanation for each step. Let the discrete random variables ξ1, ξ2, . . . be independent and with thecommon probability mass function