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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-RatioFor 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 F∼F4,10. 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-RatioFor 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 F∼F4,10. 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_VarianceThe 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.
