Nonparametric Statistics in AI

This presentation demonstrates the application of nonparametric statistical methods using the UCI Bank Marketing dataset. The analysis includes the Mann-Whitney U test, Kolmogorov-Smirnov test, Kruskal-Wallis test, and bootstrapping techniques to analyze customer data that do not meet the assumptions of parametric statistical tests. The presentation also discusses the interpretation of the statistical results and their relevance to artificial intelligence applications.