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statistically significant variance

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "statistically significant variance" is correct and usable in written English.
It can be used in contexts involving statistical analysis, particularly when discussing the importance of differences observed in data sets. Example: "The study revealed a statistically significant variance in the results, indicating that the treatment had a measurable effect."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

10 human-written examples

Nevertheless, we found the low statistically significant variance in the slopes of thermal reaction norms for body mass and developmental, which was mainly driven by the interactive effects of parental haplotypes.

Here we see a statistically significant variance.

News & Media

Huffington Post

Control and overexpression experiments exhibit no statistically significant variance (ANOVA).

Science

eLife

The model showed a statistically significant variance at patient level, practice level and GP level (all p < 0.005).

This lack of statistically significant variance remained when comparing the frequency of serologic testing of the nine providers evaluating six or more of the included cohort.

Providers did not have a statistically significant variance (P = 0.15) amongst themselves with respect to the frequency of celiac serologic testing (Table  1).

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Human-verified similar examples from authoritative sources

Similar Expressions

50 human-written examples

Again, the statistically significant variances indicated the appropriateness of the random effects model.

The use of a random effects model is supported by the statistically significant variances for both location and patient.

p-values < 0.05 indicate the statistically significant variances associated with differences within triplicates for that particular comparison.

Research findings show some statistically significant variances in satisfaction rating among different size hospitals: managers of large hospitals tend to be more satisfied with the QMS (4.5) than their counterparts in medium (3.8) and small (3.0) hospitals.

The data of Wai et al. [54] directly implicates a post-natal mechanism in generating some of the increased variance between oocytes, but the absence of statistically significant increased variance between PGCs before birth does not mean that variation is not being generated at this time point.

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Expert writing Tips

Best practice

When reporting "statistically significant variance", always include the p-value to provide context for the level of significance. This allows readers to assess the reliability of the finding.

Common error

Avoid assuming that "statistically significant variance" automatically implies practical importance. Statistical significance indicates that the observed variance is unlikely due to chance, but the magnitude of the variance might be too small to have real-world implications.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

83%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "statistically significant variance" serves as an adjective phrase modifying a noun, indicating that the variance observed in a dataset is unlikely due to random chance. Ludwig AI confirms its usability in English.

Expression frequency: Uncommon

Frequent in

Science

90%

News & Media

10%

Formal & Business

0%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "statistically significant variance" is a key term in statistical analysis, denoting that observed differences in data are unlikely due to chance. Ludwig AI confirms that the phrase is accurate and usable in English. Predominantly used in scientific contexts, it indicates the reliability of findings. It's important to consider the p-value and effect size alongside statistical significance to determine the practical implications of the variance. Alternatives such as "significant statistical variation" or "notable statistical difference" can be used depending on the specific context.

FAQs

How do I interpret "statistically significant variance"?

It means that the observed differences in your data are unlikely to have occurred by random chance. You should consider the p-value and effect size to understand the practical importance of the variance.

What does a lack of "statistically significant variance" indicate?

It suggests that there isn't enough evidence to conclude that the observed differences are real and not just due to random variation. This doesn't necessarily mean there's no effect, but rather that the study didn't find strong enough evidence.

Are there alternatives to using the phrase "statistically significant variance"?

Yes, depending on the context, you can use alternatives like "significant statistical variation", "notable statistical difference", or "meaningful statistical variation".

What is the role of sample size in determining "statistically significant variance"?

Larger sample sizes increase the statistical power of a test, making it easier to detect "statistically significant variance" if it exists. Smaller sample sizes may fail to detect real differences, leading to a false negative result.

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Source & Trust

83%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: