Illeszkedésvizsgálatok
Illeszkedésvizsgálatok, a statistical term, refers to methods used to determine how well a given theoretical probability distribution or model fits a set of observed data. This is a crucial step in data analysis, hypothesis testing, and model building. The core idea is to quantify the discrepancy between the empirical distribution of the data and the expected distribution under a particular hypothesis.
Commonly used goodness-of-fit tests include the chi-squared (χ²) test, the Kolmogorov-Smirnov (K-S) test, and the Anderson-Darling test.
The outcome of an illeszkedésvizsgálat is typically a p-value. A small p-value suggests that the observed data