Sentence examples for statistically irrelevant from inspiring English sources

The phrase "statistically irrelevant" is correct and usable in written English.
It can be used when discussing data or results that do not have a significant impact or relationship in a statistical context.
Example: "The findings of the study were deemed statistically irrelevant, as they did not meet the required significance level."
Alternatives: "statistically insignificant" or "not statistically significant".

Exact(26)

Some climate scientists dismiss them as statistically irrelevant.

So slight, in fact, that it was statistically irrelevant — except for bragging rights.

The differences in category fluency were so slight as to be statistically irrelevant.

Some might argue that my figures can't show how the service is performing overall as they are for a limited number of journeys on limited routes and therefore statistically irrelevant.

Russia's Ministry of Emergency Situations does not keep statistics on lost mushroomers, and a spokeswoman said the number of the missing was so small as to be statistically irrelevant.

Since then, there has been a trickle of lifetime bans and the odd fine, but no way has been found to prevent the refinement of the gambling market to the point where thousands of pounds can be won or lost on a statistically irrelevant moment that in itself amounts to nothing – no result changed, not even a run forfeited.

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Similar(34)

This is no doubt true, & it is obviously deplorable, but it is statistically irrelevant-as senseless as it would be to to compare the number of Negroes who vote in Mississippi with the casualties in a New England flood.

This occurs because with a large sample size the power is big enough to detect, as statistically significant, irrelevant small differences.

The fact that the number of people to have been killed in Britain in terrorist attacks by Islamic militants – 53 (52 during the 7/7 attacks, plus Lee Rigby) – is statistically negligible is irrelevant.

If fully effective, standardization within laboratories would decrease variation within study populations to zero [28], and therefore, each experiment would turn into a single-case study with zero information gain, producing statistically significant, but irrelevant results that lack generality under even slightly different conditions [28], [29].

Minor yet statistically significant differences are irrelevant for the treatment decision.

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