A. O. BelloF. A. OguntoluO. M. AdetutuJ. P. Ojedokun2025-05-052015A.O. Bello, F. A. Oguntolu, O. M. Adetutu, N. Nyor & J.P. Ojedokun (2015): Application of Bootstrap Re-sampling Method to categorical Data of HIV/AIDS Spread across different Socio-Economical Classes: International Journal of Statistics and Applications; 5(4): 157-168. p-ISSN: 2168-5193; e-ISSN: 2168-5215; http://article.sapub.org/10.5923.j.statistics.20150504.04.html2168-51932168-521510.48550/arxiv.1609.07806http://repository.futminna.edu.ng:4000/handle/123456789/1881This research reports on the relationship and significance of social-economic factors (age, gender, employment status) and modes of HIV/AIDS transmission to the HIV/AIDS spread. Logistic regression model, a form of probabilistic function for binary response was used to relate social-economic factors (age, sex, employment status) to HIV/AIDS spread. The statistical predictive model was used to project the likelihood response of HIV/AIDS spread with a larger population using 10,000 Bootstrap re-sampled observations.enHIVCategory dataLarge-Sample inferenceMultiple Split Sample Procedure logistic regressionprobability plotsApplication of Bootstrap Re-sampling Method to a Categorical Data of HIV/AIDS Spread across different Social-Economic ClassesArticle