F-value
F-value
The F-value (pronounced "eff-value") is a statistical term used in the field of medical statistics and biostatistics. It is a value derived from an F-distribution and is used in analysis of variance (ANOVA) to determine the significance of group differences.
Pronunciation
- IPA: /ɛfˈvæljuː/
Etymology
The term "F-value" is named after the British statistician and geneticist Ronald Fisher, who introduced the concept in the early 20th century. The "F" stands for "Fisher".
Definition
In the context of ANOVA, the F-value is a ratio of two types of variance: the variance between groups and the variance within groups. A high F-value indicates that the group means are significantly different, while a low F-value suggests that they are not.
Calculation
The F-value is calculated using the formula:
F = (variance between groups / degrees of freedom between) / (variance within groups / degrees of freedom within)
Related Terms
See Also
External links
- Medical encyclopedia article on F-value
- Wikipedia's article - F-value
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