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If Claude is happy one day, the probability that she's happy the next day is 1. If she's sad one day, the probability that she's sad the next day is 0.2. Over the long term, the probability that she's happy on any day is 1 (Hint: you can answer this using logic and maybe a drawing, equations needed.) no If Hau-Tieng is happy one day, the probability that he's happy the next day is 0.4. If he's sad one day, the probability that he's sad the next day is 1. Over the long term, the probability that he's happy on any day is 0 (Hint: you can answer this using logic and maybe a drawing, no equations needed.) If Suraya is happy one day, the probability that she's happy the next day is 0.7. If Suraya is sad one day, the probability that she's sad the nex day is 0.6. Over the long term, the probability that she's happy on any day is 57.14 (Hint: time to write down a transition matrix and use Markov Chain tools...)

If Claude is happy one day, the probability that she's happy the next day is 1. If she's sad one day, the probability that she's sad the next day is 0.2. Over the long term, the probability that she's happy on any day is 1 (Hint: you can answer this using logic and maybe a drawing, equations needed.) no If Hau-Tieng is happy one day, the probability that he's happy the next day is 0.4. If he's sad one day, the probability that he's sad the next day is 1. Over the long term, the probability that he's happy on any day is 0 (Hint: you can answer this using logic and maybe a drawing, no equations needed.) If Suraya is happy one day, the probability that she's happy the next day is 0.7. If Suraya is sad one day, the probability that she's sad the nex day is 0.6. Over the long term, the probability that she's happy on any day is 57.14 (Hint: time to write down a transition matrix and use Markov Chain tools...)

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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If Claude is happy one day, the probability that she's happy the next day is 1. If she's sad one day, the probability that she's sad the next day is 0.2. Over the long term, the probability that she's happy on any day is 1 (Hint: you can answer this using logic and maybe a drawing, no equations needed.) If Hau-Tieng is happy one day, the probability that he's happy the next day is 0.4. If he's sad one day, the probability that he's sad the next day is 1. Over the long term, the probability that he's happy on any day is 0 (Hint: you can answer this using logic and maybe a drawing, no equations needed.) If Suraya is happy one day, the probability that she's happy the next day is 0.7. If Suraya is sad one day, the probability that she's sad the next day is 0.6. Over the long term, the probability that she's happy on any day is 57.14 (Hint: time to write down a transition matrix and use Markov Chain tools...)
Transcribed Image Text:If Claude is happy one day, the probability that she's happy the next day is 1. If she's sad one day, the probability that she's sad the next day is 0.2. Over the long term, the probability that she's happy on any day is 1 (Hint: you can answer this using logic and maybe a drawing, no equations needed.) If Hau-Tieng is happy one day, the probability that he's happy the next day is 0.4. If he's sad one day, the probability that he's sad the next day is 1. Over the long term, the probability that he's happy on any day is 0 (Hint: you can answer this using logic and maybe a drawing, no equations needed.) If Suraya is happy one day, the probability that she's happy the next day is 0.7. If Suraya is sad one day, the probability that she's sad the next day is 0.6. Over the long term, the probability that she's happy on any day is 57.14 (Hint: time to write down a transition matrix and use Markov Chain tools...)
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