analysis of variance


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analysis of variance

n.
A method for assessing the contribution of an independent variable or controllable factor to the observed variation in an experimentally observed dependent variable.

analysis of variance

n
(Statistics) statistics any of a number of techniques for resolving the observed variance between sets of data into components, esp to determine whether the difference between two samples is explicable as random sampling variation with the same underlying population. Abbreviation: ANOVA
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Noun1.analysis of variance - a statistical method for making simultaneous comparisons between two or more meansanalysis of variance - a statistical method for making simultaneous comparisons between two or more means; a statistical method that yields values that can be tested to determine whether a significant relation exists between variables
statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters
multivariate analysis - a generic term for any statistical technique used to analyze data from more than one variable
References in periodicals archive ?
Analysis of variance showed that the effect of experimental factors within probability level 1% on seedling height is significant (Table 1).
He goes on to the analysis of variables (classification models, the mathematical theory of linear models, and multiple crossed and nested factors), and the analysis of variance (AOV) model with balanced and unbalanced data.
According to analysis of variance, different doses of nitrogen alone and in combination with constant doses of phosphorus and potassium had no significant effect on number of flowers per plant.
Fluorescence variables were analyzed using one-way analysis of variance with means separated with Duncan's Multiple Range Test.
The raw scores from the self-concept scales and the social studies test were analyzed by using a two-way analysis of variance (ANOVA).
In the early years of experimental education, researchers achieved this by adopting a citational practice that led to the sedimentation of their cardinal method, the analysis of variance, and their statistical framework from its historical conditions of production.
Comparisons were performed by analysis of variance (ANOVA), with a statistical significance level of 0.
Data obtained were subjected to an analysis of variance and Duncan's mean compression tests to determine the effect of the site index on the mechanical properties.
Analysis of variance revealed that year was a significant source of variation.
We determined statistical significance using one-way analysis of variance followed by the Bonferroni multiple comparison test.
To move beyond traditional research methods and into effect analysis, use statistical tools such as analysis of variance, correlation analysis, multiple regression and structural equation modeling (these are described below).
The Analysis of Variance revealed no significant difference in the performance times for the three trials.

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