Bifactorial Experiment Design on the Physical Performance of a Group of Students of the Ricardo Palma University, Perú

Elizabeth Puelles Bulnes M.; Yackelin Trejo Osorio L.; Bautista Rotondo Cortéz G.; Franco Jimenez Rojas J.; de la Cruz M.F.V. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2024) · DOI: 10.18687/laccei2024.1.1.1997

Resumen

This study aims to evaluate the impact of various types of exercise on the athletic performance of students at Ricardo Palma University, Lima (URP), Peru, utilizing a bifactorial experimental design analyzed with SPSS statistical software.The study considers two factors: the student and the type of exercise, each with three levels.The response variable is physical performance, measured by the duration of each exercise in minutes.To ensure validity, accuracy, and reliability, the bifactorial design includes replications, with three replicates and five repetitions for each of the three different exercises performed by three students, resulting in a 3x3x3 bifactorial model.Model assumptions were verified for reliability, and ANOVA revealed significant differences in physical performance across the different types of exercises and among students, with a 95% confidence level.Further, post-hoc analysis Minimal Significant Difference (DMS) at α=0.05 identified specific differences between levels of each factor, offering detailed, personalized insights for each student and the team.This study provides a framework to optimize student fitness performance, considering individual needs and the distinct requirements of each exercise type.Additionally, it offers a general diagnostic tool valuable for sports teams and athletes preparing for competitions.The didactic methodology allowed students to apply statistical theory to practical situations, enhancing their analytical and practical skills in the Design of Experiments course.

Instituciones: Universidad Ricardo Palma