Using Markov Chains to Predict the Probability of Change in Cumulative Rates for Students of the College of Administration and Economics / University of Basrah

Abstract

The Markov chains are of great importance for predicting future situations, and the advantages of this method is that it does not depend on the causes of the phenomenon, but rather takes it as it is, to be analyzed and predict its future state, The aim of the research is to assess the cumulative rates of students of the College of Administration and Economics, University of Basra, by estimating the probability of change in the current time and predict the probability of change in the case of stability. And we reached a decline in the probability of higher cumulative rates in the future for all sections, especially in the departments of economy, accounting and statistics by 6%.