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 ?
Comparisons were performed, first, through one-way ANOVA including controls and treatments, then, by using a two-way factorial ANOVA with interactions including only the treatments with subsequent post hoc tests (Duncan).
In particular, this study employed a 2 x 7 factorial ANOVA, with effect sizes being computed using n2 (.
The effect of incubation temperatures (three levels), seed storage conditions (three levels) and light conditions (two levels) on the final germination percentage was analyzed by a three-way factorial ANOVA.
Analysis of results (Figure 1) by factorial ANOVA revealed that the elastic sleeve tested in this study reduced the anterior displacement of the tibia by a small (max.
A 3 (Participant group: college students, university students and business persons) x 2 (Expectancy: positive or negative) Factorial ANOVA of mixed design was conducted (sphericity not assumed, Greenhouse-Geisser correction implemented).
Additionally, a series of 2 x 2 factorial ANOVA were performed to test main and interaction effects of gender and level of study on various dimensions of the information seeking anxiety construct (hypotheses three).
factorial ANOVA with genotype and treatment as category factors; Dunnett post hoc) and (c) caspase-3/7 fluorometric activity assay (n = 3 independent experiments; ## P < 0.
Immediate data collection was not possible due to the time taken to row back to the boating dock area Data Analysis Hypotheses 1 and 2 were addressed across the three training conditions using a 3 (condition; low moderate high) x 2 (gender) mixed factorial ANOVA.
Visual representations of each factorial ANOVA discussed above are presented in Figures 1-4.
A 3-factor (month, sleeves, and Tanglefoot) factorial ANOVA showed that month of exposure had no significant effect on survival to fifth instar (F = 0.
One factorial ANOVA revealed a significant difference among the frequency of food items.
In line with the graphical interpretation, a factorial ANOVA confirms that the effects of the performance of Person A (F(4,228)=118.