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2. One the last exam, you analyzed a mini-version of the board game Chutes and Ladders. For your reference, this informationConsider a mini-version of the classic board game Chutes and Ladders, as shown in the picture below. A player starts with a t

2. One the last exam, you analyzed a mini-version of the board game Chutes and Ladders. For your reference, this information is repeated on the next page. (a) Give the one-step transition matrix P for the Markov chain {Xn,n 2 0]. (This is the same question that was on the exam) (b) What is the expected length (number of spins) of a game? (c) In which square should the player expect to spend the most time? (d) In which square should the player expect to spend the second-most amount of time? e) What is the probability that the player will ever land on square 11? (f) What is the probability that the player will ever land on square 2? (g) Given that the player is on square 8, what is the expected remaining length of the game?
Consider a mini-version of the classic board game Chutes and Ladders, as shown in the picture below. A player starts with a token in square 1, and on each turn, spins a spinner to determine how many spaces to move (the spinner is equally likely to stop on 1, 2, or 3). If a player's move ends at the bottom of a ladder, he immediately climbs to the top of the ladder. If his move ends at the top of a chute, he immediately slides to the bottom of the chute. For example, if the player is currently on square 5 and he spins a 3, then his turn will end on square 8. If, however, he spins a 1, then his turn will end on square 9 10 12 Finish 7 6 5 1 Start2 4 3. In order to win the game, a player must land exactly on square 12. For example, if a player is on square 11 and spins a 2 or a 3, he will stay on square 11. He may only move from square 11 to square 12 by spinning a 1, Let represent the square that the player's token is on after the nth turn (so Xo = 1). Give the one-step transition matrix P for the Markov chain {Xn,n2 0
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Rogers Theory-Diffusion of Innovation deals with the idea of how an innovation finds its space among the elements or partici

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