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- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/12%3A_F_Distribution_and_One-Way_ANOVA/12.11%3A_SolutionsThis page covers statistical tests, notably ANOVA and hypothesis testing, focusing on variances and means among populations. It highlights the assumptions of normal distributions and equal variances, ...This page covers statistical tests, notably ANOVA and hypothesis testing, focusing on variances and means among populations. It highlights the assumptions of normal distributions and equal variances, noting instances where null hypotheses are not rejected, indicating no significant differences in certain datasets. However, some cases confirm significant differences, particularly in fruit flies' egg-laying behaviors.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/12%3A_F_Distribution_and_One-Way_ANOVA/12.08%3A_PracticeThis page discusses statistical exercises on variances focusing on F tests and one-way ANOVA. It presents various scenarios involving comparisons among coworkers, students, cyclists, and teams regardi...This page discusses statistical exercises on variances focusing on F tests and one-way ANOVA. It presents various scenarios involving comparisons among coworkers, students, cyclists, and teams regarding commute times, test scores, sports performance, and ages for obtaining driver licenses.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/12%3A_F_Distribution_and_One-Way_ANOVA/12.02%3A__One-Way_ANOVAThis page explains the one-way ANOVA test, which evaluates significant differences among group means based on variance. It requires five assumptions: normality of populations, independence of samples,...This page explains the one-way ANOVA test, which evaluates significant differences among group means based on variance. It requires five assumptions: normality of populations, independence of samples, equal variances, a categorical factor, and a numerical response. The null hypothesis posits that all group means are equal, while the alternative indicates at least one differs.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/12%3A_F_Distribution_and_One-Way_ANOVA/12.07%3A_Formula_ReviewThis page explains hypothesis testing for two variances, focusing on the null hypothesis that the ratio of variances equals a specified value (δ0) and the alternative hypothesis that it does not. It d...This page explains hypothesis testing for two variances, focusing on the null hypothesis that the ratio of variances equals a specified value (δ0) and the alternative hypothesis that it does not. It discusses the F statistic as the ratio of sample variances and covers the F distribution, including calculations for sums of squares, degrees of freedom, and mean squares, culminating in the F-ratio employed in analysis of variance.
