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Fisher's F-ratio illustrated graphically

机译:Fisher的F比图形地说明了

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摘要

Calculating Fisher's F-ratio is a key step in a number of statistical procedures involving null hypothesis significance testing. This is particularly so in the case of ANOVA (analysis of variance) in its several forms, but even multiple regression includes a test of significance of the overall model which employs an F-ratio. The present paper aims at making the basic ideas behind this common statistic more comprehensible by providing a visual counterpart to, and justification for, its algebraic definition.
机译:计算Fisher的F比是许多统计程序的关键步骤,涉及零假假设意义测试。 这在其几种形式的ANOVA(方差分析)的情况下特别是如此,但是即使多元回归也包括采用F比率的整体模型的重要性的测试。 本文旨在通过为其代数定义提供视觉对手和理由,使这种常见统计数据背后的基本思想更加可理解。

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