deviation from data

USAGE SUMMARY

The phrase "deviation from data" is correct and usable in written English.
It can be used in contexts where you are discussing differences or variances from a set of data or expected results. Example: "The analysis revealed a significant deviation from data, indicating potential errors in the collection process."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

2 human-written examples

Estimations are found to be in excellent agreement with the reliable data in the literature where the average absolute deviation from data is less than 1.5%.

Journal of Loss Prevention in the Process Industries

Standardizing gene expression by mean and standard deviation from data set is often used for microarray analysis [ 9– 13].

BioMed Research International

Human-verified similar examples from authoritative sources

Similar Expressions

58 human-written examples

Visual inspections of residual plots did not reveal obvious deviations from data normality.

Forest Ecosystems

Least-squares fits to numerical data in that range yield a very good agreement between data and function: the R-squared coefficients are at least as good as the best fit in the whole range of fitness change, but now there are no systematic deviations from data.

BMC Evolutionary Biology

Sample size for efficacy was determined by considering the equivalence of two means based on means and standard deviations from data previously collected as part of routine quality assurance monitoring and a minimum clinically significant difference for NRS pain at discharge from PACU of 1.8.

BMC Anesthesiology

Similarly, the angle plots showed narrower distribution and smaller standard deviation from methylation data than DNA data (Figure S1c vs. Figure S1d and Figure S1e vs. Figure S1f, also see Table S1).

Plosone

Three samples below show the composite or average of the cumulative deviation traces from data collected during such events.

Princeton University

The single-exponential fit extracts a 220 fs lifetime for the best fit of the data, but the residual exhibits a systematic deviation from the data.

Biochemistry

As the recoveries of the microdialysis probes were constant, the concentrations of TMPP in dialysate measured in vivo were analyzed in parallel and the data were not recalculated with in vivo recovery to avoid deviation from actual data.

Acta Pharmaceutica Sinica B

For example, in beta distribution, given a set of accepted values of α and β, we generate pseudo data of the same sample size and calculate the mean and standard deviation from pseudo data.

BMC Medical Research Methodology

In addition, the clinical subgroup of early cannabis users (n = 40) will display a greater level of deviation from normative data (non-user healthy controls; n = 40) compared with the two other clinical subgroups (novel data).

BMC Psychiatry

Expert writing Tips

Best practice

When discussing research findings, be specific about the type of "deviation from data" you're describing (e.g., standard deviation, percentage difference). Quantify the deviation whenever possible to provide clear context.

Common error

Avoid vague statements about "deviation from data" without specifying what 'data' refers to. Always clarify the baseline or expected values against which the deviation is being measured.

Linguistic Context

The phrase "deviation from data" primarily functions as a noun phrase. It refers to the extent to which a set of outcomes differs from the established, expected or normal dataset, often in a scientific or analytical context. Ludwig AI confirms its usability.

Expression frequency: Common

Frequent in

Science

98%

Formal & Business

1%

News & Media

1%

Less common in

Academia

0%

Wiki

0%

Encyclopedias

0%

Ludwig's WRAP-UP

In summary, "deviation from data" is a noun phrase frequently used in scientific and formal contexts to describe differences between observed outcomes and expected datasets. Ludwig AI indicates that the phrase is grammatically correct and appropriate for various analytical purposes. Related phrases include "variance from data" and "discrepancy in data". When using this phrase, it is best practice to quantify the deviation and clarify the baseline data being referenced. The predominant usage is within scientific domains, making it important to maintain precision and objectivity.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

variance from data

Focuses on the statistical dispersion or spread within the data.

discrepancy in data

Highlights inconsistencies or disagreements within the data.

divergence from data

Emphasizes the act of moving in different directions away from the data.

departure from data

Indicates a movement away from the expected or standard data.

variation from data

Suggests a change or difference from the established data patterns.

error in data

Highlights mistakes and imperfections within the dataset.

inaccuracy in data

Focuses on the precision and correctness of the data.

difference from data

Describes specific instances that differ from the data.

nonconformity to data

Highlights that the data does not conform to expectations.

irregularity in data

Stresses the anomalous or unusual aspects within the data.

FAQs

How can I use "deviation from data" in a sentence?

Use "deviation from data" to describe instances where observed results differ from expected or baseline data. For example, "The study revealed a significant "deviation from data", suggesting external factors influenced the outcome."

What's a good alternative to "deviation from data"?

Depending on the context, you can use alternatives like "variance from data", "discrepancy in data", or "divergence from data".

Is "deviation from data" the same as "error in data"?

While both describe a difference, ""deviation from data"" is a broader term indicating any difference, while "error in data" specifically implies a mistake or inaccuracy in the data collection or processing.

When should I quantify the "deviation from data"?

Whenever possible, quantify the ""deviation from data"" by providing specific values or percentages. This makes your analysis more precise and easier to interpret.