Fit statistics

Fit statistics are numerical tools used to measure how well a statistical model or test matches actual data. They help determine if the model accurately represents what’s observed or if there are discrepancies. Think of it like checking how well a fitted piece of clothing matches your body: good fit means the model explains the data well, while poor fit suggests the model might need adjustment. These statistics assist researchers in evaluating the quality of their models, ensuring their conclusions are based on a reliable representation of the data.