Análisis y comparación de la tasa de deserción estudiantil aplicando técnicas estadísticas en la carrera de estadística en el periodo 2016 – 2020

Abstract

This work aims to analyze the consequences of the student dropout rate in the Statistics career. The data collection was carried out through the corresponding procedure in the secretary of the career, data was obtained from students who entered the first semester in each academic period, in addition to calculating the sample size, a survey was conducted on 163 students enrolled in the period October 2020 - March 2021 to learn about the factors that influence dropout and the consequences they entail. Descriptive statistical techniques were used to obtain the dropout rates of the academic periods that were analyzed. The dropout rates were divided into 3 periods for the Computer Statistics Engineering degree (IEI) and 5 academic periods for the Statistics degree, working with a total of 333 students, of which 169 students were dropouts in both careers, which means that 51% chose to abandon the career. Comparing the dropout rates, in the IEI career, in the third period there was a higher dropout rate with 86%, which means that 30 of 35 students desisted from the career, meanwhile in the Statistics degree in the fourth academic period analyzed there was the highest rate with 55%, which means that 29 out of 55 students chose to drop out. The most influential factor was the economic one with 109 (66.9%), the consequence that should be considered the most is depressions and personal frustrations with 97 (59.5%). It is concluded that men abandon their studies more than women and generally desertion occurs in the first levels, in the same way it is recommended to perform this type of studies continuously and with an economic focus.