The weather on any given day in a particular city can be sunny, cloudy, or rainy. It has been observed to be predictable largely on the basis of the weather on the previous day. Specfically: if it is sunny on one day, it will be sunny the next day 1/5 of the time, and be cloudy the next day 1/2 of the time if it is cloudy on one day, it will be sunny the next day 1/2 of the time, and be cloudy the next day 3/10 of the time if it is rainy on one day, it will be sunny the next day 7/10 of the time, and be cloudy the next day 3/10 of the time Using 'sunny', 'cloudy', and 'rainy' (in that order) as the states in a system, set up the transition matrix for a Markov chain to describe this system. Use your matrix to determine the probability that it will rain on Tuesday if it is sunny on Sunday. 0 0 0 P= 0 0 0 0 0 0 Probability of rain on Tuesday = 0 The weather on any given day in a particular city can be sunny, cloudy, or rainy. It has been observed to be predictable largely on the basis of the weather on the previous day. Specfically: if it is sunny on one day, it will be sunny the next day 1/5 of the time, and be cloudy the next day 1/2 of the time if it is cloudy on one day, it will be sunny the next day 1/2 of the time, and be cloudy the next day 3/10 of the time if it is rainy on one day, it will be sunny the next day 7/10 of the time, and be cloudy the next day 3/10 of the time Using 'sunny', 'cloudy', and 'rainy' (in that order) as the states in a system, set up the transition matrix for a Markov chain to describe this system. Use your matrix to determine the probability that it will rain on Tuesday if it is sunny on Sunday. 0 0 0 P= 0 0 0 0 0 0 Probability of rain on Tuesday = 0