The weather at a seaside resort each day is classified as either Sunny or Rainy.The probability that any two consecutive days are both sunny is 0.6, with the otherthree combinations being equally likely.Treating the situation as a two-state Markov chain, answer the following:(a) Find the transition matrix P and the stationary distribution vector r.(b) Find the 5-step transition matrix p(5) and hence find the probability that, if it issunny on Sunday, it will be rainy on Friday.(c) If a day is chosen at random and found to be rainy, what is the expected numberof sunny days before the next rainy day?

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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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Profits at a securities firm are determined by the volume of securities sold, and this volume fluctuates from week to week. If volume is high this week, then next week it will be high with a probability of 0.6 and low with a probability of 0.4. If volume is low this week then it will be high next week with a probability of 0.1. 1. Find the transition matrix for the Markov chain, with high volume being state 1 and low volume state 2. 2. If the volume was low last week, what is the probability the volume will be low this week? 3. If the volume was high this week, what is the probability it will be low three weeks from now? 4. If the volume was high this week, what is the probability it will be alternate between low and high for the next three weeks (i.e. High → Low → High → Low.)
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A bus containing 100 gamblers arrives in Las Vegas on a Monday morning. The gamblers play only poker or blackjack, and never change games during the day. The gamblers' daily choice of game can be modeled by a Markov chain: 95% of the gamblers playing poker today will play poker tomorrow, and 80% of the gamblers playing blackjack today will play blackjack tomorrow. (a) Write down the stochastic (Markov) matrix corresponding to this Markov chain. (b) If 60 gamblers play poker on Monday, how many gamblers play blackjack on Tuesday? (c) Find the unique steady-state vector for the Markov matrix in part (a).
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