Using chi-square categorical testing to analyse the survey data and find people’s attitude towards inequalities

Abstract

This study utilizes chi-square categorical testing to analyze survey data, aiming to delve into people's attitudes towards various forms of inequality. The research investigates individuals' perceptions concerning disparities in wealth, access to healthcare, and opportunities for personal and professional growth. Data was collected through a structured survey, presenting participants with relevant questions related to societal inequalities. By employing the chi-square test, the study examines the associations between respondents' demographic characteristics and their attitudes towards inequality. Additionally, the research explores potential correlations between attitudes towards inequality and factors such as education level, income, and social background. The findings shed valuable light on the extent to which individuals perceive and respond to societal disparities, providing crucial insights for policymakers and social scientists in their efforts to design effective strategies for addressing inequality and fostering a fairer and more cohesive society.