What type of table shows the distribution of values for two binary or discrete variables?

A cross tabulation table effectively displays the relationship between two binary or discrete variables by organizing data into a matrix format. In this table, each variable is represented by a separate axis, allowing for the visualization of how each category relates to the other. This allows for easy comparison of the frequency or count of occurrences that share specific characteristics from both variables, showcasing patterns, trends, and relationships in the data.

In scenarios where two binary variables are analyzed, cross tabulation can provide valuable insights into correlations, potential dependencies, or interactions. For example, it might illustrate the responses of a group of individuals regarding two separate yes/no questions, making it simple to track how many answered each combination of options.

The other options do not serve the same purpose: an amortization schedule is designed to display the breakdown of loan payments over time; a Geographic Information System (GIS) centers around spatial data analysis for mapping and geographical contexts; and a scatter diagram is utilized for displaying the relationship between two continuous variables, typically showing how one variable is affected by another using points on a Cartesian plane. None of these alternatives fulfill the function of illustrating the distribution of values for two binary or discrete variables in the same effective manner as cross tabulation.