WOMEN EMPOWERMENT AND ECONOMIC CONTRIBUTION: STATISTICAL ANALYSIS WITH THE CHI-SQUARE TEST
DOI:
https://doi.org/10.29121/shodhkosh.v3.i1.2022.5772Keywords:
Women Empowerment, Female Labor Force Participation, Chi-Square Test, Gender Gap, Economic Contribution, Income Groups, Hdi Rank, Statistical Analysis, Gender Inequality, Workforce InclusionAbstract [English]
This study investigates the relationship between women's labor force participation and a country's economic classification using statistical analysis. By employing a Chi-Square Test of Independence on a publicly available dataset of global labor force participation rates, this research evaluates whether income level categories (Low, Lower-Middle, Upper-Middle, High) significantly affect women's engagement in the labor force. The findings suggest a strong association between income group and participation rate category, underscoring the need for policy interventions tailored to economic contexts.
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Copyright (c) 2022 Dr. Navneet Kaur

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