This report presents the Chi-Square calculation in R across different contexts, including Pearson's Chi-Square test, Chi-Square with Yates' correction, Fisher's Exact test, and McNemar's test. Using various contingency tables, we assess the association between categorical variables, evaluating statistical significance based on test statistics, p-values, and critical values. Each method is applied in relevant scenarios to determine dependencies between variables.

This analysis brings a fresh perspective by integrating: Gender-disaggregated HIV/AIDS indicators, and Socioeconomic data (specifically GDP per capita). The Main goal is to uncover nuanced insights that can drive targeted interventions

This analysis leverages data from the LASSI India 2022 study to examine patterns in health insurance coverage and compare hospitalization costs between public and private healthcare facilities. The objective is to uncover trends, disparities, and their implications for healthcare access and policy development.