correct variance

USAGE SUMMARY

The phrase "correct variance" is a correct and usable phrase in written English.
It can be used in contexts related to statistics, finance, or any field where variance is measured and needs to be validated or confirmed as accurate. Example: "To ensure the reliability of our data analysis, we must first verify that we have calculated the correct variance."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

12 human-written examples

Appropriate selection of covariates is pertinent to correct variance modeling and selecting the appropriate covariates and variance function is vital to correlation structure selection.

Computational Statistics & Data Analysis

Therefore, the relatively slow convergence to a correct variance for the prior is understandable.

Plosone

Based on this we designed a Bayesian inference model that knew the prior's correct variance, but had to infer which of the two means was currently being used.

Plosone

This analysis shows that human subjects converge to the correct variance of the prior with a timescale on the order of a hundred trials.

Plosone

Subjects acquired the correct variance over a slower time-scale, statistically indistinguishable from the first 250 trials of experiment 1 (in a bin-by-bin comparison, there were no significant differences, two sample t-tests, p>0.1).

Plosone

Also, stabilizing the variance and controlling the influence of individual concentrations (especially at the extremes) satisfies the requirements for correct variance component analysis (and other analysis of variance methodology).

Plosone

Human-verified similar examples from authoritative sources

Similar Expressions

48 human-written examples

The robust variance estimator was used to correct variances for correlations of repeated measures from the same state.

Injury Epidemiology

Schonlau et al. (2009) used the US Health and Retirement study to compare an Internet sample and general sample and found that adjustments helped to correct variances in sample means but that differences remained large on a number of parameters.

IZA Journal of Labor Economics

Schonlau et al. (2009) Methodological US Health and Retirement study   Adjustments help to correct variances in sample means but differences between a general sample and an internet sample remain large on a number of parameters.

IZA Journal of Labor Economics

For the variance, we compared the variances of the two data sets with the Taylor-series solution given by Eq. (4), and with the modified ratio solution given by Theorem 2 with and without the correction (the final formula for corrected variance of the modified ratio was omitted due to its length, but see Section 4 for calculation details).

Journal of Statistical Distributions and Applications

We used the "More Powerful" Quasi-Likelihood Score Test (MQLS) which accounts for relatedness between subjects using a corrected variance.

BMC Cancer

Expert writing Tips

Best practice

When reporting statistical results, clearly state how the "correct variance" was obtained and what measures were taken to ensure its accuracy.

Common error

Avoid blindly accepting calculated variance values. Always verify your calculations and assumptions to ensure you're using the "correct variance" for meaningful analysis.

Linguistic Context

The phrase "correct variance" functions as an adjective-noun combination, where 'correct' modifies 'variance'. Its primary grammatical function is to specify the type of variance being discussed, emphasizing its accuracy. Ludwig AI shows examples in scientific contexts.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

In summary, "correct variance" is a phrase used to emphasize the accuracy and validity of a variance value, primarily in scientific and statistical contexts. Ludwig AI indicates that the phrase is grammatically correct, although it appears with uncommon frequency. To enhance clarity in writing, it's important to clearly describe how the "correct variance" was derived and what steps were taken to ensure its precision, according to best practices. Remember, always verify your calculations and assumptions to ensure you are using "correct variance".

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

accurate variance

Replaces "correct" with "accurate", emphasizing precision and freedom from error.

precise variance

Substitutes "correct" with "precise", highlighting exactness and detail in the variance value.

valid variance

Replaces "correct" with "valid", focusing on the legitimacy and appropriateness of the variance.

appropriate variance

Emphasizes the suitability of the variance for a specific purpose or context.

true variance

Highlights the genuine or actual variance, as opposed to an estimated or biased one.

verified variance

Focuses on the confirmation or validation of the variance through testing or analysis.

validated variance

Stresses the process of establishing the correctness and reliability of the variance.

error-free variance

Highlights the absence of errors in the calculation or determination of the variance.

unbiased variance

Indicates that the variance is free from systematic bias, providing a fair representation.

reliable variance

Emphasizes the consistency and dependability of the variance over repeated measurements or analyses.

FAQs

How do I ensure I'm using the "correct variance" in my analysis?

Double-check your calculations, validate your assumptions, and use appropriate statistical methods to obtain the "correct variance". Consider consulting with a statistician if needed.

What does "correct variance" mean in statistical analysis?

It refers to a variance value that accurately reflects the true variability within a dataset, free from errors or biases.

What are some alternatives to saying "correct variance"?

You can use alternatives like "accurate variance", "precise variance", or "valid variance" depending on the context.

Why is it important to use the "correct variance"?

Using an incorrect variance can lead to flawed conclusions and inaccurate predictions. The "correct variance" is essential for reliable statistical inference and decision-making.