Why is Kruskal Wallis H Test Important in Epidemiology?
In epidemiology, data often do not meet the assumptions required for parametric tests due to the nature of health data, which can be skewed or have outliers. The Kruskal Wallis H test does not assume normality and is less sensitive to outliers, making it a robust choice for analyzing epidemiological data. It allows researchers to make inferences about the populations from which the samples were drawn, facilitating better decision-making in public health interventions.
