The phrase "a comparison of variance" is correct and usable in written English.
It can be used in statistical contexts when discussing the differences in variability between two or more datasets.
Example: "In our analysis, we conducted a comparison of variance to determine which group exhibited greater variability in their test scores."
Alternatives: "an analysis of variance" or "a variance comparison".
Thus, a comparison of variances using the current data and assuming a probabilistic design will most likely introduce a bias in the estimators of unknown magnitude.
A comparison of variances was even more marked, with the variance of between-person variation in treatment effects being only about one tenth the variance of background within-person variation.
The quality of the representation, as measured by a comparison of observed variance in population size to the estimated sampling distribution of variance from simulations, appears to approach some parametric value asymptotically.
This normalised variance controls for the effect of different or changing mean heteroplasmy, and thus allows a comparison of heteroplasmy variance among samples with different mean heteroplasmies and subject to heteroplasmy change with time.
A comparison of the variance observed for ribosomal protein abundance values in the dataset by Lu et al. with the variance observed for the pairwise comparison of the Ghaemmaghami et al. and Lu et al. studies, suggests that it is likely that errors in both studies contribute to the differences observed between them.
(E) Based on a comparison of the variance of the reflectivity errors with that of the velocity errors, it can be inferred that the phase estimation is more sensitive to noise than the amplitude estimation.
This method allowed for a comparison of behavioral variance across sites while minimizing ecological and genetic differences (see Methods).
A comparison of the variance between providers derived from model B and that derived from model C indicated that, for timeliness of care, 11.3% of the variability of model B was attributable to type of provider (tables 3 and 4 ).
For a comparison of the variances of two dependent random variables, see (Wilcox 2015).
A widely used statistical measure for discriminant validity is a comparison of the Average Variance Extracted (AVE) with correlation squared [62].
