variance analysis - ترجمة إلى إيطالي
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variance analysis - ترجمة إلى إيطالي

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         
analisi di varianza
factor analysis         
  • ^2=h^2_a</math>. If another data vector <math>\mathbf{z}_b</math> were plotted, the cosine of the angle between <math>\mathbf{z}_a</math> and <math>\mathbf{z}_b</math> would be <math>r_{ab}</math> : the <math>(a,b)</math>-entry in the correlation matrix. (Adapted from Harman Fig. 4.3)<ref name="Harman"/>
STATISTICAL METHOD USED TO DESCRIBE CORRELATION THROUGH FEWER POSSIBLY LATENT VARIABLES
Factor analysis (in marketing); Factor Analysis; Multi-factorial; Factor loadings; Factorial analysis; Higher-order factor analysis; Principal factor analysis; Factor loading; Factor weight; Factor analyses; Statistical factor analysis
analisi fattoriale
systems analysis         
PROBLEM-SOLVING TECHNIQUE THAT BREAKS DOWN A SYSTEM INTO ITS COMPONENT PIECES
Systems analysis & design; System Analysis and Design; Information systems analysis and design; Systems Analysis
analisi dei sistemi, analisi sistemica

تعريف

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.

ويكيبيديا

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.