ANOVA (analysis of variance) - traducción al Inglés
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ANOVA (analysis of variance) - traducción al Inglés

COLLECTION OF STATISTICAL MODELS USED TO ANALYZE THE DIFFERENCES BETWEEN GROUP MEANS AND THEIR ASSOCIATED PROCEDURES
ANOVA; Analysis of Variance; Analysis of variance/Random effects models; Analysis of variance/Degrees of freedom; Annova; Anova; Factorial ANOVA; Multi-factor analysis of variance; Variance analysis; ANOVAR; ANOVA/Random; ANOVA/DegreesOfFreedom; Analysis of variance/Fixed effects model; ANOVA/Fixed; AN.O.VA.
  • Fair fit: Pet vs Working breed and less athletic vs more athletic
  • Very good fit: Weight by breed
  • No fit: Young vs old, and short-haired vs long-haired

ANOVA (analysis of variance)      
(n.) = análisis de varianza (ANOVA)

Def: Procedimiento estadístico para comprobar la igualdad de las medias de dos o más muestras por medio de la distribución F.
Ex: Multiple regressions and analysis of variance were the main statistical methods used in the analysis of the data which was collected in the Federal District of Brazil.
variance analysis         
Análisis de variantes ( prueba del error casual en un resultado de análisis)
variance2      
(n.) = varianza

Def: Estadística.
Ex: When the items of the dependent variables were analyzed together (eigenvalue 1.0) five factors were extracted, which explained 81.5% of the variance in the data.
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* analysis of variance (ANOVA) = análisis de varianza (ANOVA)

Definición

rada
sust. fem.
Bahía, ensenada donde las naves pueden estar ancladas al abrigo de algunos vientos.

Wikipedia

Analysis of variance

Analysis of variance (ANOVA) is a collection of statistical models and their associated estimation procedures (such as the "variation" among and between groups) used to analyze the differences among means. ANOVA was developed by the statistician Ronald Fisher. ANOVA is based on the law of total variance, where the observed variance in a particular variable is partitioned into components attributable to different sources of variation. In its simplest form, ANOVA provides a statistical test of whether two or more population means are equal, and therefore generalizes the t-test beyond two means. In other words, the ANOVA is used to test the difference between two or more means.