What does analysis of variance mean?

Definitions for analysis of variance
ana·ly·sis of vari·ance

This dictionary definitions page includes all the possible meanings, example usage and translations of the word analysis of variance.

Princeton's WordNet

  1. analysis of variance, ANOVAnoun

    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

GCIDE

  1. Analysis of variancenoun

    a statistical technique by which the results of an observation or experiment are analyzed to determine the relative contributions of the different possible causative factors or variables to the outcome. Abbreviated ANOVA.

Wiktionary

  1. analysis of variancenoun

    A collection of statistical models, and their associated procedures, in which the observed variance is partitioned into components due to different explanatory variables.

Wikipedia

  1. 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.

ChatGPT

  1. analysis of variance

    Analysis of variance, also known as ANOVA, is a statistical method used to compare the means of three or more independent groups in order to determine if there is a significant difference among them. It analyzes the variability among group means, taking into account the amount of variation within each group and between different groups. ANOVA examines the impact of one or more factors by comparing the means of different samples, and it assumes that populations from which samples are derived are normally distributed and have equal variances.

Wikidata

  1. Analysis of variance

    Analysis of variance is a collection of statistical models used to analyze the differences between group means and their associated procedures. In ANOVA setting, 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 or not the means of several groups are equal, and therefore generalizes t-test to more than two groups. Doing multiple two-sample t-tests would result in an increased chance of committing a type I error. For this reason, ANOVAs are useful in comparing three or more means for statistical significance.

U.S. National Library of Medicine

  1. Analysis of Variance

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

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Numerology

  1. Chaldean Numerology

    The numerical value of analysis of variance in Chaldean Numerology is: 3

  2. Pythagorean Numerology

    The numerical value of analysis of variance in Pythagorean Numerology is: 5

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"analysis of variance." Definitions.net. STANDS4 LLC, 2024. Web. 19 Apr. 2024. <https://www.definitions.net/definition/analysis+of+variance>.

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