This report presents an analysis of the association between diabetes status, gender, and race, utilizing data collected from 280 patients at Zeta Medical Center between 2010 and 2015. The study investigates the relationship between diabetes (categorized as normal, prediabetes, and diabetes) and the independent variables of gender and race. The methodology involves the use of a Chi-Square test of association to determine statistical significance. The study sample consisted of a majority of male participants (52.5%), with an average age of 42.92 years. The racial distribution included whites (33.9%), blacks (32.9%), and other races (33.2%). The study aims to determine if there is a statistically significant association between gender and diabetes status, and race and diabetes status. Statistical analyses were performed using SPSS software version 21 with a significance level set at p > .05. The report includes a review of relevant literature and provides a detailed account of the methods, results, and conclusions drawn from the analysis. The report is available on Desklib, a platform providing AI-based study tools for students.