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- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/12%3A_F_Distribution_and_One-Way_ANOVAThis page outlines a chapter on the F-Distribution, discussing variance testing, One-Way ANOVA, and the F-Ratio. It includes key facts, terms, practice exercises, homework, and references, offering a ...This page outlines a chapter on the F-Distribution, discussing variance testing, One-Way ANOVA, and the F-Ratio. It includes key facts, terms, practice exercises, homework, and references, offering a thorough exploration of the subject. The chapter is curated by Kristin Kuter from Saint Mary's College.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/12%3A_F_Distribution_and_One-Way_ANOVA/12.05%3A_Key_TermsThis page discusses key statistical concepts, focusing on Analysis of Variance (ANOVA), which tests whether the means of three or more populations are equal under specific conditions including normal ...This page discusses key statistical concepts, focusing on Analysis of Variance (ANOVA), which tests whether the means of three or more populations are equal under specific conditions including normal distribution and equal standard deviations. It highlights the One-Way ANOVA as a specific application, defines variance with its formula involving sample size, and notes that the F-ratio is used as the test statistic for both types of ANOVA.
- 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.
