deviation is too large

USAGE SUMMARY

The phrase "deviation is too large" is correct and usable in written English.
It can be used in contexts where you are discussing statistical analysis, measurements, or any situation where a variation from a standard or expected value is being evaluated. Example: "In our analysis, we found that the deviation is too large to be considered acceptable for this experiment."

✓ Grammatically correct

Science

News & Media

Academia

Wiki

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

In addition, given the sample size of our study, the standard deviation is too large, especially for both markers measured in cases, to obtain enough power to compare the concentrations between cases and controls.

BMC Cancer

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

Peptides were not quantified for the following reasons: peptide score was too low, or the deviation was too large.

BMC Plant Biology

This is due to the difficulty in measuring the vertical deviation when the horizontal deviation was too large.

BioMed Research International

However, the allowed deviations are too large for epidemiological studies.

BMC Medical Research Methodology

It should be noted that the deviation between the two models is too large to be ignored, especially for high volume fractions of nanoparticles.

International Nano Letters

The K-S test rejects the hypothesis of white noise whenever the maximum deviation between the cumulative spectrum and the straight line is too large.

EURASIP Journal on Advances in Signal Processing

Her mouth is too large.

The New Yorker

The state is too large in Britain.

The Economist

"The gap is too large," he said.

The New York Times

However, the completeness threshold is too large for most practical instances or too hard to compute.

Electronic Notes in Theoretical Computer Science

The two following figures show the Egg data for the first half and second half (the full dataset is too large for a single graph using the complete detail in the raw data). It is notworthy that during the first days, there is a persistent, strong deviation, culminating in the days which had been most strongly promoted, and in which there was large participation.

Princeton University

Expert writing Tips

Best practice

When discussing statistical data, always specify the units of measurement alongside the statement that the "deviation is too large" to provide a complete understanding.

Common error

Avoid using "deviation is too large" without specifying what constitutes an acceptable deviation within the specific context. The phrase is meaningless without a reference point.

Linguistic Context

The phrase "deviation is too large" functions as an evaluative statement, typically used to express that a measured or observed variation exceeds a predefined or expected limit. Ludwig AI indicates it's grammatically correct.

Expression frequency: Common

Frequent in

Science

34%

News & Media

25%

Academia

15%

Less common in

Wiki

10%

Formal & Business

8%

Reference

8%

Ludwig's WRAP-UP

The phrase "deviation is too large" is a grammatically sound and commonly used expression to denote that a variance exceeds acceptable boundaries. According to Ludwig AI, its versatility allows it to fit into diverse contexts, from scientific research and news reporting to academic discussions and general explanations. While sources like The New York Times, The Economist, BMC, Forbes and WikiHow commonly employ it, remember to provide specific context for "deviation" to avoid ambiguity. Consider alternatives like "the variance is excessive" or "the discrepancy is significant" for nuanced expression.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

the variance is excessive

Focuses on the statistical dispersion being beyond acceptable limits.

the discrepancy is significant

Highlights that the difference is noteworthy and impactful.

the error margin is unacceptable

Emphasizes that the potential for mistake is beyond tolerance.

the difference is substantial

Indicates the divergence is considerable in size or degree.

the divergence is considerable

Stresses that the act of moving in different directions is important.

the fluctuation is extreme

Highlights the instability as major.

the variation is substantial

Focuses on how the changes are noteworthy.

the inconsistency is pronounced

Emphasizes that the disagreement is very noticeable.

the disparity is marked

Highlights that the difference is clear.

the aberration is unacceptable

Focuses on how the departure of what's normal is intolerable.

FAQs

What does it mean when the "deviation is too large" in statistics?

In statistics, stating that the "deviation is too large" implies that the spread or variability of data points from a central value (like the mean) exceeds a pre-defined acceptable threshold. This might indicate inconsistencies or errors in the data.

How can I quantify if the "deviation is too large"?

To determine if the "deviation is too large", you need to establish a benchmark or acceptable range based on the specific context, industry standards, or experimental requirements. Common methods include calculating standard "deviation", variance, or using control charts.

What are some alternatives to saying the "deviation is too large"?

Depending on the context, you can use phrases like "the "variance is excessive"", "the "discrepancy is significant"", or "the "error margin is unacceptable"" to express that the variation exceeds tolerable limits.

In what situations is it important to consider whether the "deviation is too large"?

Assessing whether the "deviation is too large" is crucial in various fields, including manufacturing quality control, scientific research, financial risk management, and medical diagnostics. In each, excessive deviation can signal critical issues requiring immediate attention.