Sentence examples for differences in the variables from inspiring English sources

"differences in the variables" is a grammatically correct and usable phrase in written English.
It can typically be used when discussing the variation or discrepancy between different factors or elements that are being compared or studied. Example: "The researchers found significant differences in the variables of income and education level among the participants, highlighting the importance of considering multiple factors in their study."

Exact(46)

Preliminary statistical analysis showed that sex and age of the subjects with different kinds of socket fixation would not introduce any significant differences in the variables.

There were differences in the variables measured in the BS according to the organism that produced them.

For the bootstrapping analysis, we resampled the datasets, choosing miRNA and methylation probes in the same number as the heatmap in question, and then considered the distributions of the pairwise differences in the variables ∏ρk.

We find clear differences in the variables of flow and geomechanics between one-way and two-way couplings in this field case (e.g., pressure and effective stress).

To analyze differences in the variables associated with severity of suicidal intent and in the main factors associated with intent when comparing younger and older adults.

We observed opposite geographical patterns of species richness and differences in the variables associated with species richness depending on the guild or migratory status considered.

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Similar(14)

The wide spectrum of imaging findings regarding renal oncocytomas may be explained by the differences in the variable mixture of high-cellularity and low-cellularity components.

As a consequence, any daughter B cells will acquire slight amino acid differences in the variable domains of their antibody chains.

No notable differences in the variable distributions were noted between the two cohorts, GINI and LISA, thus the data was pooled.

Such a huge difference in the variables makes it hard to choose an efficient mesh and results in much longer simulation times and larger errors.

Missing values were handled by using multiple imputations, and sensitivity analysis showed no significant difference in the variables (P > 0.05).

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