Goodness-of-fit tests are statistical tests used to determine how well a statistical model fits a set of observed data. These tests evaluate the discrepancies between observed frequencies and expected frequencies, allowing analysts to assess whether a particular distribution is an appropriate representation of the data at hand.
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