Read the project description and give a detailed solution to solving the problem using excel with enabled macro and also vba. Need answers as soon as possible. Thanks in advance.

Markov Chains Problem Description Markov chains have been widely used to model stochastic pro Markov chains have been applied in areas such as education, marketing, health services, finance, accounting, etc. The aim of this project is to build a decision support system that would enable the user to answer a number of questions related to Markov chains. Markov chains are a special type of discrete time stochastic process that evaluate the probability of a system being in a particular state at time t+ 1 by only using the knowledge of the state of the system at time t (it) and disregarding the states that the system had to pass through on the way to it. POX, i, X, (1) POK, Where, Xt is the relevant system characteristic at time t. The following formula shows how to calculate the probability that the system will be at state j in time t n, given that the system is at state i at time t (2) POX j IX Pi (n) Where is the n-state probability of transition from state ito state j. pr(n) s the ith element of the transition 1 f 1-1. It might happen probability matrix Pm. Note that for n 0, P Goo POxo jl Yo therefore P (o)- that we do not know the state of the chain at time 0, therefore, Markov Chains Problem Description Markov chains have been widely used to model stochastic pro Markov chains have been applied in areas such as education, marketing, health services, finance, accounting, etc. The aim of this project is to build a decision support system that would enable the user to answer a number of questions related to Markov chains. Markov chains are a special type of discrete time stochastic process that evaluate the probability of a system being in a particular state at time t+ 1 by only using the knowledge of the state of the system at time t (it) and disregarding the states that the system had to pass through on the way to it. POX, i, X, (1) POK, Where, Xt is the relevant system characteristic at time t. The following formula shows how to calculate the probability that the system will be at state j in time t n, given that the system is at state i at time t (2) POX j IX Pi (n) Where is the n-state probability of transition from state ito state j. pr(n) s the ith element of the transition 1 f 1-1. It might happen probability matrix Pm. Note that for n 0, P Goo POxo jl Yo therefore P (o)- that we do not know the state of the chain at time 0, therefore