variance from standard

USAGE SUMMARY

The phrase "variance from standard" is correct and usable in written English.
It can be used in contexts where you are discussing deviations or differences from an established norm or benchmark. Example: "The variance from standard in the production process has led to increased costs and delays."

✓ Grammatically correct

Science

News & Media

Encyclopedias

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

Note that definition (4) extrapolates the variance from standard unbiased definition of variance when v X = v ― EE μ and is equivalent to the definition from likelihood maximization when v X > > v ― EE μ.

Algorithms for Molecular Biology

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

Some of these changes actually increase variances from standard costs in some departments but are undertaken because they benefit the company as a whole.

Encyclopedia Britannica

Five phenotypes had estimates of the variance from higher-order interactions >3 standard errors from zero.

Genetics

The simulations suggest that with a sample of 5000 Hutterites, it would be possible to estimate the variance from pairwise interactions with a standard error of <5% of the phenotypic variance.

Genetics

The combined subsampling and analytical variance of OTA measured in ground wheat was shown to decrease in a sample that had been on a mechanical mixer for 15 30 min. Overall, the combined subsampling and analytical variance relative standard deviations decreased from 46% to approximately 15% after 30 min of mechanical mixing (Nowicki and Roscoe 2010).

Food Additives and Contaminants - Part A Chemistry, Analysis, Control, Exposure and Risk Assessment

We have developed an analysis of the standard error of variance from a sample of size n, and we have defined error bars for variance measurements based on this standard error.

The American Journal of Human Genetics

From the resulting distributions, the variance and standard error were calculated for all inferred parameters, events, and ancestral nodes.

BMC Genomics

From standard power-size analysis considerations it follows that the lowest-variance unbiased estimator has highest power [35].

Plosone

Variance components, standard deviations, and 95% highest posterior densities were calculated from the resulting posterior distributions.

Genetics, Selection, Evolution

Power calculations can be aided by the approximate analytic formula for the standard error of the variance from pairwise interactions.

Genetics

Go through finding the mean, variance, and standard deviation again.

WikiHow

Expert writing Tips

Best practice

When discussing statistical data, clarify whether you're referring to population variance or sample variance for clarity.

Common error

Avoid using "variance" and standard deviation interchangeably. Variance is the square of the standard deviation and represents the average of the squared differences from the mean, while standard deviation is the square root of variance and measures the spread of data around the mean in the original unit of measurement.

Linguistic Context

The phrase "variance from standard" functions primarily as a noun phrase that denotes the degree of deviation or dispersion from an established norm, benchmark, or standard value. According to Ludwig AI, this phrase is grammatically sound and commonly used.

Expression frequency: Uncommon

Frequent in

Science

60%

News & Media

20%

Formal & Business

10%

Less common in

Encyclopedias

5%

Wiki

3%

Social Media

2%

Ludwig's WRAP-UP

In summary, "variance from standard" is a grammatically correct and usable phrase that refers to the degree of deviation from an established norm. Ludwig AI confirms its validity. It's most commonly found in scientific, news, and formal business contexts. When using this phrase, be mindful of the specific type of variance you're referencing (population vs. sample), and avoid confusing it with standard deviation. Consider alternatives like "deviation from norm" or "departure from usual" depending on the context. Remember that precise usage enhances clarity, especially in technical writing.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

deviation from norm

Focuses on departing from a typical or expected value.

divergence from typicality

Emphasizes a departure from what is considered typical.

departure from usual

Highlights a move away from the common or habitual.

difference from benchmark

Specifically refers to a deviation from a reference point.

discrepancy from reference

Highlights an inconsistency compared to a standard or reference.

variation from average

Indicates a difference from the mean or typical value.

disagreement with convention

Implies a conflict or inconsistency with established practices.

nonconformity to regulation

Focuses on failing to meet established rules or guidelines.

aberration from the mean

Suggests an unusual deviation from the average or expected.

inconsistency with criteria

Points to a lack of alignment with specified standards or requirements.

FAQs

How is "variance from standard" used in statistical analysis?

In statistical analysis, "variance from standard" often refers to how much a particular data point or set of data points deviates from an established or expected norm. It's a measure of dispersion around a central value.

What's a common context where I might encounter "variance from standard"?

You'll frequently find "variance from standard" used in quality control processes, financial analysis, and scientific research to assess deviations from expected values or norms.

What is the difference between "deviation from standard" and "variance from standard"?

"Variance from standard" implies a statistical measure of dispersion, while "deviation from standard" is a more general term referring to any difference or departure from an established norm or criterion. Deviation can be qualitative or quantitative, while variance is specifically a quantitative measure.

How do I calculate "variance from standard" in a dataset?

The calculation of "variance from standard" depends on what you're measuring. Generally, you'd compare each data point to the standard (mean or expected value), calculate the difference, square the difference, and then average these squared differences. This gives you the variance.