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 1/3 of the time, and be cloudy the next day 1/3 of the time • if it is cloudy on one day, it will be sunny the next day 1/3 of the time, and be cloudy the next day 1/3 of the time • if it is rainy on one day, it will be sunny the next day 1/6 of the time, and be cloudy the next day 1/6 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 Wednesday if it is sunny on Sunday.
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 1/3 of the time, and be cloudy the next day 1/3 of the time • if it is cloudy on one day, it will be sunny the next day 1/3 of the time, and be cloudy the next day 1/3 of the time • if it is rainy on one day, it will be sunny the next day 1/6 of the time, and be cloudy the next day 1/6 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 Wednesday if it is sunny on Sunday.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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