verdelingsassumptie
The term “verdelingsassumptie” refers to a distributional assumption made about a set of data or a statistical model. In Dutch as in many statistical traditions it is often used in the context of hypothesis testing, regression analysis or other inferential procedures where the form of the underlying distribution plays a crucial role. The assumption usually concerns the probability distribution that generates the observations, the shape of the error terms, or the constancy of variance across levels of an explanatory variable.
Common instances of a verdelingsassumptie include normality of residuals in linear regression, homoscedasticity (constant variance), independence
Validating a verdelingsassumptie is essential because many classical tests rely on it for accurate Type I
In practice, the credibility of statistical conclusions hinges on how well the chosen verdelingsassumptie matches reality.