Analyzing gender disparities in push-up performance among first year students of St. Dominic College of Asia: A two-tailed t-test approach using Python programming
Anthony T. Regino*
Alejo C. Lupac
Evangeline C. Siat
Department of Arts and Sciences, St. Dominic College of Asia, Bacoor City, Cavite, Philippines
William A. Aldea III
Information Technology Department, School of Communication, Multimedia, and Computer Studies, St. Dominic College of Asia, Bacoor City, Cavite, Philippines
Abstract
This study delves into gender disparities in push-up performance among first-year students enrolled in the Physical Education course at St. Dominic College of Asia, employing a two-tailed t-test and leveraging Python programming for robust data analysis. Recognizing the integral role of physical fitness for first-year students, understanding potential variations related to gender is imperative for crafting inclusive educational strategies. Executed within the confines of St. Dominic College of Asia, the research aims to shed light on the distinct challenges encountered by selecting a random sample of 20 males and 20 females from the first-year cohort enrolled in GPE 101 (Physical Fitness), from the Bachelor of Science in Nursing during the first semester of 2023-2024, comprising a total of 40 students at St. Dominic College of Asia. These male and female first-year students were assessed to evaluate their ability to meet physical demands. Participants were allotted 10 seconds to perform as many push-ups as possible, and the results were meticulously documented. Two hypotheses were formulated: the Null Hypothesis (H0), positing no significant difference in mean push-up scores between males and females, and the Alternative Hypothesis (H1), proposing a significant difference in mean push-up scores. The subsequent Python programming T-test revealed the acceptance of the null hypothesis (H1). The research findings aim to assess and compare push-up performance times specifically among male and female first-year students at St. Dominic College of Asia. Beyond the local scope, this study exemplifies the application of advanced statistical methods and programming tools to address real-world challenges in the realm of physical fitness.
Keywords: Gender disparities; Physical fitness; Healthcare education; Two-tailed T-test; Python programming.
To cite this article:
Regino, A. T., Lupac, A. C., Siat, E. C., & Aldea III, W. A. (2024). Analyzing gender disparities in push-up performance among first year students of St. Dominic College of Asia: A two-tailed t-test approach using Python programming. SDCA Asia-Pacific Multidisciplinary Research Journal, 6(1), 74-77. doi: 10.5281/zenodo.14614273