The chi-squared test evaluates the difference between observed and expected frequencies in a contingency table. The test helps ascertain if the observed distribution of cases across different categories deviates significantly from what would be expected by chance alone. This is crucial for identifying potential risk factors and understanding the distribution of diseases within populations.
