goodness of fit

Goodness of fit is a statistical measure that assesses how well a model or theory aligns with observed data. Imagine you have a puzzle, and the pieces represent data points or outcomes. Goodness of fit checks if your puzzle pieces correctly fit together to match the picture of reality. A high goodness of fit indicates that the model accurately reflects what’s happening in the data, while a low goodness of fit suggests the model misses key aspects or patterns. Essentially, it helps us determine how well our predictions or assumptions align with what we actually observe.