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  • https://stats.libretexts.org/Courses/Fresno_City_College/Introduction_to_Business_Statistics_-_OER_-_Spring_2023/12%3A_F_Distribution_and_One-Way_ANOVA/12.04%3A_The_F_Distribution_and_the_F-Ratio
    For example, if F follows an F distribution and the number of degrees of freedom for the numerator is four, and the number of degrees of freedom for the denominator is ten, then \(F \sim F_{4,...For example, if F follows an F distribution and the number of degrees of freedom for the numerator is four, and the number of degrees of freedom for the denominator is ten, then FF4,10. As it turns out, MSbetween consists of the population variance plus a variance produced from the differences between the samples. MSwithin is an estimate of the population variance.
  • https://stats.libretexts.org/Courses/Fresno_City_College/Book%3A_Business_Statistics_Customized_(OpenStax)/12%3A_F_Distribution_and_One-Way_ANOVA/12.04%3A_The_F_Distribution_and_the_F-Ratio
    For example, if F follows an F distribution and the number of degrees of freedom for the numerator is four, and the number of degrees of freedom for the denominator is ten, then \(F \sim F_{4,...For example, if F follows an F distribution and the number of degrees of freedom for the numerator is four, and the number of degrees of freedom for the denominator is ten, then FF4,10. As it turns out, MSbetween consists of the population variance plus a variance produced from the differences between the samples. MSwithin is an estimate of the population variance.
  • https://stats.libretexts.org/Bookshelves/Applied_Statistics/Basic_Statistics_Using_R_for_Crime_Analysis_(Choi)/01%3A_Chapters/1.08%3A_Analysis_of_Variance
    The page introduces ANOVA, a statistical method for analyzing differences among group means, as an extension of t-tests. The focus is on a study examining media exposure's impact on perceptions of pol...The page introduces ANOVA, a statistical method for analyzing differences among group means, as an extension of t-tests. The focus is on a study examining media exposure's impact on perceptions of police through a one-way ANOVA. Participants were exposed to different police-related videos and their confidence in the police was assessed. The ANOVA results indicated no significant difference in confidence across video conditions.

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