A basic statistical technique for determining the proportion of influence a factor or set of factors has on total variation. It subdivides the total variation of a data set into meaningful component p [..]

A statistical procedure for analyzing experimental data.

The analysis of the total variability of a dataset (such as observations on the dependent variable in a regression) into components representing different sources of variation; with reference to regression, ANOVA provides the inputs for an F-test of the significance of the regression as a whole.Synonyms: ANOVA

A statistical test employed with interval data to determine if k (k > 2) samples came from populations with equal means.

A statistical technique for resolving the total variability of a set of data into systematic and random components. The analysis of variance is fundamentally a statistical estimating and/or testing pr [..]

An inferential statistical procedure used to test whether or not the means of two or more sets of data are equal to each other.

A technique used to improve the analysis over regression techniques. It can be used for identifying relationships between predictor and criterion variables, whether the predictor variables are quantit [..]

Statistical technique for testing for differences among the means of several groups with respect to a continuous variable. © 2004 by Sinauer Associates, Inc. All rights reserved. Conner, J.K. [..]

any number of the many statistically-deemed processes that segregate the joint and set apart the impacts of the individual factors of a dependent variable and examine them to determine how important t [..]

Analysis of variance is a statistical test to determine if all sample groups in a study are affected by the same factors, and if they are affected to the same degree. The groups are kept separate and [..]

A form of statistical analysis.

see: ANOVA

The separation of the variance

Analysis of variance (ANOVA) is a statistical test which compares the distribution of two or more sample groups to determine if one or more of the groups are significantly different from the others. The sample groups must be gaussian in distribution. In an analysis of variation, the average variance within each of the sample groups is factored out [..]

A statistical test that determines whether the means of two or more groups are significantly different.

Analysis of variance (ANOVA) tests whether there are significant differences between several means or correlation coefficients.

ANOVA is a standard statistical technique for analyzing the components of variation. Among other applications, it is used with Category Analysis to develop categories for variables in Trip Generation [..]

A statistical technique that isolates and assesses the contributions of categorical independent variables to variation in the mean of a continuous dependent variable.

A statistical technique that isolates and assesses the contributions of categorical independent variables to variation in the mean of a continuous dependent variable.

A series of statistical procedures for examining differences in means and for partitioning variance.

A statistical technique that isolates and assesses the contributions of categorical independent variables to variation in the mean of a continuous dependent variable. Acronym: ANOVA (12 Dec 1998)

A statistical analysis by which F values (variance ratios) are composed in such a manner as to determine the probability that differences among populations or treatments are too large to be due to chance.

A test for the difference among the means of two or more variables.

(Anova) The partitioning of total sum of squares into the sum of squares explained by the model and the remaining sum of squares unexplained.