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 0.90 0.10 Down 0.20 0.80 (a) If the system is initially running, what is the probability of the system being dow
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 0.90 0.10 Down 0.20 0.80 (a) If the system is initially running, what is the probability of the system being dow
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Chapter1: Combinatorial Analysis
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I need help solving part B please..
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 | 0.90 | 0.10 |
Down | 0.20 | 0.80 |
(a)
If the system is initially running, what is the probability of the system being down in the next hour of operation?
The asnwer for part A is .10!
(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= ?
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