statistically taken into account vs the influence of only ten variables

Both phrases are not directly comparable as they convey different meanings. 'Statistically taken into account' implies that something is being considered or factored in based on statistical analysis, while 'the influence of only ten variables' refers to the impact or effect of a specific number of variables. They can be used in different contexts and are not interchangeable.

Last updated: March 17, 2024 • 670 views

statistically taken into account

This phrase is correct and commonly used in English to indicate that something is being considered based on statistical analysis.

This phrase is used to emphasize that statistical data or analysis is being considered or included in a decision, conclusion, or evaluation.

Examples:

The outliers were statistically taken into account in the data analysis.
When making predictions, all relevant factors must be statistically taken into account.
The survey results were statistically taken into account to draw meaningful conclusions.

Show examples from the web [+]

Nov 12, 2012 ... At variance with previous studies, radio upper limits have been statistically taken into account using a Bayesian Maximum Likelihood fitting ...
For accurate quantitation with IDMS, the isotopic contribution of all atoms in the target molecule must be statistically taken into account. This paper describes two ...
Mar 28, 2013 ... ... socio-economic levels and single-parent families) could not be statistically taken into account, due to the absence of a specific control group.
... institutions or people randomly chosen from the open community, and no matter how many social and demographic factors are statistically taken into account, ...

Alternatives:

considered statistically
factored in statistically
taken into consideration statistically
included based on statistical analysis
accounted for statistically

the influence of only ten variables

This phrase is correct and can be used to refer to the impact or effect of a specific number of variables in a given context.

This phrase is used to highlight the significance or role of a limited number of variables in a situation, analysis, or study.

Examples:

The study focused on understanding the influence of only ten variables on the outcome.
By examining the influence of only ten variables, the researchers were able to identify key factors.
The model considers the influence of only ten variables to make accurate predictions.

Alternatives:

the impact of just ten variables
the effect of only ten variables
the role of ten variables
the significance of ten variables
the contribution of ten variables

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statistically taken into account vs the influence of only ten variables