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Discover LudwigSuggestions(1)
"account for variation" is a correct and common phrase used in written English.
It is typically used to describe the process of explaining or justifying why something varies or differs from another. For example: - In order to accurately analyze the data, we must account for variation in measurement techniques. - The scientist was able to account for variation in the results by taking into consideration external factors such as temperature and humidity. - The author's theory is able to account for variation in the behavior of different species. Overall, the phrase "account for variation" can be used in a variety of contexts, as long as it pertains to explaining or justifying differences or fluctuations.
Exact(60)
Testing programs must account for variation in student strengths, for students who are learning English and for students with handicapping conditions.
A ton of money and time is spent customizing and tweaking them, and phones are individually calibrated before they ship to account for variation in the manufacturing process.
This accounts for any noise on a particular day that can account for variation in pricing and valuation.
Again, geographic coordinates and elevation account for variation that is not accounted for by available ecological gradients.
The low explanatory power of age contrasts with the ability of household characteristics to account for variation in paid employment.
Comparative studies of genome-wide gene expression must account for variation not only among species, but also within species.
We investigated whether geographic determinants could account for variation in posttreatment melanoma surveillance intensity among plastic surgeons.
To account for variation over time (repeated measurement component) as well as between groups (independent sample component: intervention group vs. control group) linear mixed models were employed.
In order to account for variation by year, the impact factor corresponding to the year of publication were used for the analysis.
The purpose of CFA is to identify latent variables that account for variation and co-variation among a set of observed, (i.e., manifest) variables.
The above ANOVAs included factors to account for variation between the different experiments.
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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