The phrase "amount of variability and" is correct and usable in written English.
It can be used when discussing statistical data, research findings, or any context where variability is being measured or analyzed.
Example: "The amount of variability and its impact on the results were significant in the study."
Alternatives: "degree of variability" or "level of variability".
For continuous improvement in product/process quality, it is fundamental to understand the process behavior, the amount of variability, and its impact on processes.
Some solutions accept a certain amount of variability and agree that a consensus is formed with multiple equivalent results.
It is therefore desirable to quantify the amount of variability and seek to identify ways to minimize this.
Nonetheless, the amount of variability and nonreproducibility shown during the quality assessment is substantial and should be reflected in the interpretation of genotyping network results.
Our method allowed for a larger amount of variability and as a result we identified new candidate TREs that contain some features of the classic TRE, but are substantially different.
This results in a significant amount of variability in practice and confusion among researchers and research ethics committees about what constitutes good practice.
The amount of variability over time and space has not been fully characterized and would be difficult to characterize without a sustained and major sampling effort.
Longitudinal analysis of combined phenotypic and genotypic data during STI showed a large amount of variability in prevalence and reversion rates to wild-type codons among the RT resistance-associated mutations.
The model for the relationship between piperaquine concentrations measured in venous and capillary blood adjusted for parasitaemia showed the least amount of variability between observed and predicted concentrations, but this may be attributable to the large proportion of undetectable results at the lower end of the concentration range for the capillary measurements.
"While there was a considerable amount of variability – from El Niños and other things – there was an obvious upward trend in the data," Eakin says.
So one nice thing about this data set is that it provided a huge amount of variability to try and train these networks on.
