Pronostico para la demanda de inscritos en estudios de educación superior a nivel pregrado en la Universidad de la Amazonia

Abstract

This article deals with a non-experimental investigation, with a quantitative approach and a predictive level, which, using the Box - Jenkins methodology within the framework of univariate time series analysis, adjusts a SARIMA model to the series composed of 40 observations and 1 variable called specifically as the number of enrolled at the undergraduate level at the University of the Amazonia, whose registration begins in the first semester of 2000 and ends in the second semester of 2019; information extracted from the databases of the National Higher Education Information System and whose acronym in Spanish is (SNIES). The main purpose is to predict the number of enrolled for higher education studies at the undergraduate level of the University of the Amazonia during the next 3 years, in order to provide information based on reliable statistical procedures that allows the university and entities Governments make wise decisions towards the growth of significant attention to the demand for enrolled in this level of higher education.