Also known as F test
thumb|An F-test pdf with d1 and d2 = 10, at a significance level of 0.05. (Red shaded region indicates the critical region) An F-test is a statistical test that compares variances. It is used to determine if the variances of two samples, or if the ratios of variances among multiple samples, are significantly different. The test calculates a statistic, represented by the random variable F, and checks if it follows an F-distribution. This check is valid if the null hypothesis is true and standard assumptions about the errors (ε) in the data hold.
In the Vinony graph
Within Vinony's link graph, F検定 is referenced by 487 other articles, and connects out to median, heteroscedasticity and resampling.
It is catalogued under topics including Analysis of variance, Statistical ratios and Statistical tests.
Its subject is documented across 26 Wikipedia language editions.
Wikidata facts
- Named after
- Ronald Fisher
Show 1 more fact
- NCI Thesaurus ID
- C53234
Sources (2)
via Wikidata · CC0
Article · 日本語
F検定（エフけんてい、英: F test）とは、帰無仮説が正しければ統計量がF分布に従うような統計学的検定の総称である。この名称は、ロナルド・A・フィッシャーに敬意を表してによって命名された。フィッシャーは1920年代に分散比による統計を最初に開発した。
Abstract from DBpedia / Wikipedia · CC BY-SA