statistical significance

USAGE SUMMARY

The phrase 'statistical significance' is correct and can be used in written English.
You would typically use this phrase when discussing findings from data analysis and scientific research. For example, "The results of the analysis showed statistical significance for the hypothesis."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Statistical significance test.

Nature

Asterisks indicate statistical significance.

Nature

P < 0.05 indicated statistical significance.

Nature

Of more statistical significance is, again, mass.

The New York Times

Statistical significance was set at α = 0.05.

Nature

Statistical significance was defined as P < 0.05.

Nature

Statistical significance shown by Welch t-test.

Nature

Statistical significance was defined at P < 0.05.

Nature

Statistical significance was determined when P < 0.05.

Nature

Statistical significance was set at p < 0.05.

Nature

Statistical significance was set at P < 0.05.

Nature

Expert writing Tips

Best practice

Avoid overstating the importance of statistically significant findings. Statistical significance does not necessarily imply practical significance or real-world relevance. Consider effect sizes and context.

Common error

Don't assume that a statistically significant result is automatically meaningful in a real-world context. Focus on explaining the practical implications and effect sizes alongside the p-value.

Linguistic Context

The phrase "statistical significance" functions as a noun phrase often used to qualify research findings, indicating the likelihood that the observed results are not due to random chance. As evidenced by Ludwig, this term is used in diverse scientific reports and media outlets to communicate validity of results.

Expression frequency: Very common

Frequent in

Science

70%

News & Media

20%

Formal & Business

10%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "statistical significance" is a commonly used phrase, as Ludwig AI confirms, in scientific and academic fields to describe the reliability of research findings. Grammatically correct, this noun phrase signals that observed results are unlikely due to chance. While primarily found in scientific contexts, it also appears in news and business reporting. When using this phrase, specify the p-value and be aware of the distinction between statistical and practical importance. Alternatives like "significant statistical result" or "statistically significant finding" offer slight variations in emphasis but convey similar meanings.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

significant statistical result

This alternative rearranges the words, emphasizing the outcome first and then the statistical nature.

statistically significant finding

Replaces "significance" with "finding", focusing on the result itself being statistically validated.

statistically validated result

Highlights that the result has undergone statistical validation, implying significance.

noteworthy statistical outcome

Substitutes "significance" with "noteworthy outcome", highlighting the importance of the statistical result.

significant at p less than 0.05

Expresses statistical significance in terms of a specific p-value threshold, which is a common way to denote significance.

demonstrated statistical effect

Replaces "significance" with "effect", emphasizing the presence of a statistically proven effect.

statistically supported conclusion

Focuses on the conclusion being supported by statistical evidence, implying significance.

reliable statistical indicator

Focuses on the reliability of the statistical measure as an indicator.

meaningful statistical difference

Emphasizes the practical relevance of the statistical difference observed.

evidence of statistical impact

Expresses statistical significance in terms of the impact or effect that it demonstrates.

FAQs

How is "statistical significance" determined?

Statistical significance is typically determined by comparing a p-value to a predetermined significance level (alpha). If the p-value is less than alpha (usually 0.05), the result is considered statistically significant.

What does it mean if a result is not statistically significant?

If a result is not statistically significant, it suggests that the observed effect could be due to random chance. It does not necessarily mean there is no effect, just that the evidence is not strong enough to rule out chance.

What are some alternatives to "statistical significance"?

Depending on the context, you might use phrases like "significant statistical result", "statistically significant finding", or "noteworthy statistical outcome".

How does "statistical significance" differ from practical significance?

Statistical significance indicates whether a result is likely due to chance, while practical significance refers to the real-world importance or impact of the result. A statistically significant result may not always be practically significant and vice versa.