Data for the progression of college students at a St. Joseph College are summarized in the following matrix of transition probabilities:

Elementary Linear Algebra (MindTap Course List)
8th Edition
ISBN:9781305658004
Author:Ron Larson
Publisher:Ron Larson
Chapter2: Matrices
Section2.5: Markov Chain
Problem 47E: Explain how you can determine the steady state matrix X of an absorbing Markov chain by inspection.
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Data for the progression of college students at a St. Joseph College are summarized in the following matrix of transition probabilities:

States Graduate Drop out Freshman Sophomore Junior Senior

Graduate

1 0 0 0 0 0
Drop out 0 1 0 0 0 0
Freshman 0 0.15 0.10 0.75 0 0
Sophomore 0 0.15 0 0.05 0.80 0
Junior 0 0.10 0 0 0.10 0.8
Senior 0.8 0.05 0 0 0 0.15

a. What states are absorbing states?

b. Interpret the transition probabilities for a sophomore.

c. Compute the probabilities that a sophomore will graduate and that a sophomore will drop out.

d. In an address to the incoming class of 600 freshmen, the dean asks the students to look around the auditorium and realize that about 50% of the freshmen present today will not make it to graduation day. Does your Markov process analysis support the dean’s statement? Explain.

e. Currently, the college has 600 freshmen, 520 sophomores, 460 juniors, and 420 seniors. What percentage of the 2000 students attending the college will eventually graduate?

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