Answer
The chi-squared test, developed by Karl Pearson, serves as a statistical tool widely used for assessing the discrepancy between observed and expected frequencies in categorical data. It offers a means to determine whether the observed differences deviate significantly from what would be expected under specific theoretical assumptions or hypothesized distributions. Its applications span diverse fields, making it a fundamental technique in statistical analysis and hypothesis testing.