On the Calculation of Pass-Percentage of Students of Two Schools: A Simple Case of Societal Mathematics

This study examines the statistical relationship between gender and locality in student pass percentages across two schools-one in a suburban area and another in a rural area-while considering gender-based variations in academic performance. A theoretical framework is developed to analyze the dependency of pass rates on gender and locality, categorizing conditions into four cases: gender-independent and locality-independent, gender-independent and locality-dependent, gender-dependent and locality-independent, and gender-dependent and locality-dependent. The findings suggest that gender and locality can significantly influence pass percentages, revealing potential disparities based on school location and student demographics. The study also introduces a theoretical model using proportionality assumptions to explore the probabilities of various academic outcomes. This framework can serve as a diagnostic tool for identifying biases in educational performance and guiding future policy interventions.

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Publication Details

Journal
International Journal of Science and Research (IJSR)
Published
2025-02-06
DOI
https://doi.org/10.21275/sr25130212809
Primary Topic
Mathematics Education and Teaching Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

On the Calculation of Pass-Percentage of Students of Two Schools: A Simple Case of Societal Mathematics

Rabindranath Chattopadhyay
International Journal of Science and Research (IJSR)
Mathematics Education and Teaching Techniques
article

On the Calculation of Pass-Percentage of Students of Two Schools: A Simple Case of Societal Mathematics

Rabindranath Chattopadhyay
article en

Abstract

This study examines the statistical relationship between gender and locality in student pass percentages across two schools-one in a suburban area and another in a rural area-while considering gender-based variations in academic performance. A theoretical framework is developed to analyze the dependency of pass rates on gender and locality, categorizing conditions into four cases: gender-independent and locality-independent, gender-independent and locality-dependent, gender-dependent and locality-independent, and gender-dependent and locality-dependent. The findings suggest that gender and locality can significantly influence pass percentages, revealing potential disparities based on school location and student demographics. The study also introduces a theoretical model using proportionality assumptions to explore the probabilities of various academic outcomes. This framework can serve as a diagnostic tool for identifying biases in educational performance and guiding future policy interventions.

International Journal of Science and Research (IJSR)Vol. 14(2)
Quality Education
Openalex Percentile: Top 98%
Mathematics Education and Teaching Techniques
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