t the beginning of each day, a patient in the hospital is classifed into one of the three conditions: good, fair or critical. At the beginning of the next day, the patient will either still be in the hospital and be in good, fair or critical condition or will be discharged in one of three conditions: improved, unimproved, or dead. The transistion probabilities for this situation are                                         Good    Fair    Critical                        Good         0.65     0.20    0.05                        Fair            0.50     0.30     0.12                        Critical       0.51     0.25     0.20               Improved       Unimproved         Dead

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At the beginning of each day, a patient in the hospital is classifed into one of the three conditions: good, fair or critical. At the beginning of the next day, the patient will either still be in the hospital and be in good, fair or critical condition or will be discharged in one of three conditions: improved, unimproved, or dead. The transistion probabilities for this situation are

                                        Good    Fair    Critical

                       Good         0.65     0.20    0.05

                       Fair            0.50     0.30     0.12

                       Critical       0.51     0.25     0.20

 

            Improved       Unimproved         Dead

Good       0.06               0.03                    0.01

Fair          0.03               0.02                    0.03

Critical     0.01               0.01                    0.02

 

For example a patient who begins the day in fair condition has a 12% chance of being in critical condition the next day and a 3% chance of being discharged the next day in improved condition.

Consider a patient who enters the hospital in good condition. On average how many days does this patient spend in the hospital?

 

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