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"analyze variance" is a correct and usable phrase in written English.
It is often used in the context of research and statistical analysis to refer to the process of examining the differences or discrepancies between data points. Example: The researchers used a statistical method to analyze variance in the data and determine the significant factors influencing consumer behavior.
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Two factor ANOVA with replication was performed at α = 0.05 to analyze variance in effectiveness of concentration gradient of NPs on two cell lines.
Multilevel modeling is a generalized form of linear regression used to analyze variance in experimental outcomes predicted by both individual (within-participants) and group (between-participants) variables.
Statistical analyses of the data were done using the SAS version 9.2 to analyze variance and to determine the statistical significance of the treatment effects.
Similar(57)
Its weak point is that it does not allow analyzing variance over time.
We analyzed variance components that allowed for genetic dominance or shared sibling's environment (Table 1 and 2).
We next analyzed variance prediction to understand important experimental and subject factors of gene expression differences in our dataset.
Kolmogorov-Smirnov tests were used to describe the data distribution; the one-way ANOVA test was used for analyzing variance.
We analyzed variance in relative fitness mediated by early survival and by adult fertility separately, as did other demographic studies involving lifetime fitness measurements [ 10 14, 25].
Analyzing variance in a set of phenotypes over different population groups requires perspective and an integration of knowledge that may not exist a priori.
An interact effect between economic zones and study year ranges on rate of BLL ≥ 10 μg/dL was noted when analyzing variance model with weighed least squares method (WLS) by sample size of included studies was applied (p < 0.05).
*P < 0.05 indicates a significant difference in one-way ANOVA that was used for comparing each cohort and analyzing variance, **P < 0.05 indicates the correlation is significant (2-tailed).† CI = Confidence Interval.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com