Once initial sample data analysis and relationships between variables appear, further statistical testing can occur. At this point, hypothesis testing can be employed to answer the research question or determine whether the initial hypothesis is accurate. Much of the data analysis occurs through inferential statistical analysis during hypothesis testing. AI and machine learning models can automate hypothesis testing by rapidly analyzing sample data, identifying significant relationships, and refining hypotheses based on real-time insights. AI-driven statistical platforms like IBM Watson and Google AutoML can help researchers test hypotheses more efficiently