6. Suppose that the probability of a squash player winning a point is 0.65 if she has already won the preceding point and 0.44 if she has lost the preceding point.
a. Find the probability that she loses the third point if she has lost the first point
(2 marks)
b. Find the steady state probability that she wins a particular point .
c. Find the probability that the player wins three points in a row after losing the first point, and then loses the next point.
5. A factory has a large number of machines that can be in one of two states, operating or broken. The probability that an operating machine is still operating at the end of the day is 0.97 and the probability that a broken machine is repaired by the end of the day is 0.88.
a. A transition matrix T that can be used to represent this information,find the T
b. If a machine is operating at the beginning of day 1, find the probability that it is broken down by the end of day 7 can be found.
c. If there are 82 operating machines and 11 broken ones at the beginning of day 1, find the estimated number of broken machines at the end of day 3 .
4.A Markov chain is defined by a transition matrix T = and an initial state matrix S0 =
a. For this Markov chain,find S1 .
b. For this Markov chain,find S2.
c. For this Markov chain, S12 can be found by evaluating
A .S6〜 S6 B. T 〜 S11 C. S11 〜 T D. T12 〜 S1 E. T11 〜 S0
d. For this Markov chain, the steady state solution is?
3. Suppose that a two�Cstate Markov chain is defined by a transition matrix T and an initial state matrix S0. Which of the following is a true statement?
A The dimension of T is 3 〜 3 and the dimension of S0 is 3 〜 1.
B The dimension of T is 2 〜 1 and the dimension of S0 is 2 〜 2.
C The dimension of T is 2 〜 2 and the dimension of S0 is 2〜 1.
D The dimension of T is 2 〜 2 and the dimension of S0 is 2 〜 2.
E The dimension of T is 2 〜 2 and the dimension of S0 is 1 〜 1.
(2marks)
2. Consider the matrices:
The matrix that could be a transition matrix for a Markov chain is
A. U B. V C. W D. X E. Y
1.Suppose:
Find the Pr(A2).
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