Cross tabulation is a statistical tool used to analyze the relationship between two or more categorical variables. It organizes data into a matrix format, allowing researchers to observe how different groups interact with each other. For example, a survey might show how age groups prefer different products. This method helps identify patterns and trends within the data, making it easier to draw conclusions. By comparing the frequencies of responses across categories, analysts can uncover insights that inform decision-making in fields like marketing and social research.