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  • https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/12%3A_F_Distribution_and_One-Way_ANOVA
    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 ...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/12.03%3A__The_F_Distribution_and_the_F-Ratio
    This page covers the F distribution and one-way ANOVA in hypothesis testing, showing how to calculate the F ratio using variances between and within samples. It details the process of conducti...This page covers the F distribution and one-way ANOVA in hypothesis testing, showing how to calculate the F ratio using variances between and within samples. It details the process of conducting one-way ANOVA, including sums of squares calculations and provides an example involving tomato production experiments at Marist College.
  • https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/12%3A_F_Distribution_and_One-Way_ANOVA/12.05%3A_Key_Terms
    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 ...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/12.02%3A__One-Way_ANOVA
    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,...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.

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