variance analysis - vertaling naar spaans
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  • etymologie

variance analysis - vertaling naar spaans

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

variance analysis         
Análisis de variantes ( prueba del error casual en un resultado de análisis)
variance         
EXPECTATION OF THE SQUARED DEVIATION OF A RANDOM VARIABLE FROM ITS MEAN
Sample variance; True variance; Var(X); Sample Variance Computation; Sample variance computation; Population variance; User:Skbkekas/Population variance; Scaled chi-squared distribution; Random variance; Variance generalizations
at variance: en desacuerdo
conceptual analysis         
GENERAL TERM FOR TECHNIQUES TYPICALLY USED BY PHILOSOPHERS IN THE ANALYTIC TRADITION
Analysis (philosophy); Conceptual analysis; Conceptual Analysis; Analysis, Philosophical; Conceptual thinking; Method of analysis
(n.) = análisis conceptual, análisis de contenido
Ex: Existing literature on conceptual analysis has shown that little attention is directed towards the development and standardisation of methods and guidelines for the identification of relevant concepts.

Definitie

ANOVA
[a'n??v?]
¦ noun analysis of variance, a statistical method in which the variation in a set of observations is divided into distinct components.

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.