Hypothesis testing is crucial in epidemiology as it helps in determining if there is enough evidence to support a specific hypothesis about a health-related event. Common tests include the t-test, Chi-square test, and ANOVA. These tests compare the observed data against a null hypothesis to assess the statistical significance of the results.
