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  • https://stats.libretexts.org/Workbench/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Science_(Oja)_WITHOUT_UNITS/16%3A_Chi-Square/16.02%3A_Introduction_to_Goodness-of-Fit_Chi-Square
    Does your data fit the expectations?  We'll see!
  • https://stats.libretexts.org/Courses/Rio_Hondo_College/PSY_190%3A_Statistics_for_the_Behavioral_Sciences/14%3A_Chi-square/14.02%3A_Goodness-of-Fit
    The first of our two χ² tests assesses one categorical variable against a null hypothesis of equally sized frequencies. Equal frequency distributions are what we would expect to get if categorizatio...The first of our two χ² tests assesses one categorical variable against a null hypothesis of equally sized frequencies. Equal frequency distributions are what we would expect to get if categorization was completely random. We could, in theory, also test against a specific distribution of category sizes if we have a good reason to (e.g. we have a solid foundation of how the regular population is distributed), but this is less common, so we will not deal with it in this text.
  • https://stats.libretexts.org/Courses/Taft_College/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Sciences_(Oja)/03%3A_Relationships/16%3A_Chi-Square/16.02%3A_Introduction_to_Goodness-of-Fit_Chi-Square
    Does your data fit the expectations?  We'll see!

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