Application of chi-square test in Pollution research
Keywords:
Chi-square test, pollution levels, categorical data, observed frequency, expected frequency, association, independence, environmental monitoring, significance level, null hypothesis.Abstract
The present study employed the Chi-square test to analyse the relationship between pollution levels and selected categorical environmental factors. Observed frequencies of pollution indicators were compared with expected frequencies across different locations and time periods. The analysis revealed statistically significant differences, indicating non-random variation in pollution distribution. These findings suggest that pollution levels are influenced by environmental and anthropogenic factors. The Chi-square test proved to be an effective statistical tool for identifying associations in pollution data and supporting evidence-based environmental assessment and management strategies.
