In epidemiological studies, researchers often deal with categorical data, such as the presence or absence of a disease, or the classification of subjects into different exposure groups. The Chi Square Test is particularly useful because it assesses whether the observed frequencies in the data differ significantly from the expected frequencies if there was no association between the variables. This is crucial for identifying potential risk factors and disease prevalence.
