right statistic

USAGE SUMMARY

The phrase "right statistic" is correct and usable in written English.
You can use it when referring to a statistic that is accurate, appropriate, or relevant to a particular context or argument. Example: "To support your claim, you need to present the right statistic that reflects the current trends in the industry."

✓ Grammatically correct

News & Media

Science

Formal & Business

Human-verified similar examples from authoritative sources

Similar Expressions

60 human-written examples

That's right, a statistic which takes no account of the fact that the average Dutch national cycles around 10 times further per year than the average Briton.

The Guardian

It's just a statistic, right?

The New York Times

I don't hook up with that statistic right enough.

The Guardian

Black was right about the statistic, and the Red Sox spent the holiday punishing the San Diego pitchers with at least one hit in every inning of an 8-2 victory.

The New York Times - Sports

"That statistic right there is what our offense is all about," said Mickey Hatcher, Angel batting instructor.

Los Angeles Times

But right now the compelling statistic separating the Boris and Heathrow camp is the numbers potentially affected by noise: over the 55 decibel level generally counted as major disturbance, the mayor counts 766,000 people at Heathrow or a few dozen at the fantasy Boris Island.

The Guardian

Pathway enrichment analysis used the G. gallus database from the Kyoto encyclopedia of genes and genomes (KEGG) database by the right-side hyper-geometric statistic test and its probability value was corrected by Bonferroni's method.

BMC Genomics

The gene ontology analysis based on biological process and enrichment analysis was performed by the right-side hyper-geometric statistic test and its probability value was corrected by Bonferroni's method [ 52].

BMC Genomics

Here's a fairly amazing market statistic for you: right now, the Nasdaq is below where it was on July 15 , 1997

The New Yorker

By James Surowiecki November 14, 2008 Here's a fairly amazing market statistic for you: right now, the Nasdaq is below where it was on July 15 , 1997

The New Yorker

Mason did flub a few lines, at one point struggling to find the right word to describe a statistic.

TechCrunch

Expert writing Tips

Best practice

When presenting data, ensure you're using the "right statistic" to avoid misleading your audience. Check for relevance and accuracy before incorporating it into your analysis.

Common error

Don't cherry-pick statistics to support a pre-existing argument. Always consider whether the "right statistic" truly reflects the situation, even if it contradicts your initial viewpoint.

Linguistic Context

The phrase "right statistic" functions as a noun phrase, where "right" acts as an adjective modifying "statistic". It identifies a specific type of statistic that is deemed accurate, suitable, or appropriate for a given context. As Ludwig AI explains, it refers to a statistic that is accurate, appropriate, or relevant to a particular context or argument.

Expression frequency: Uncommon

Frequent in

News & Media

50%

Science

33%

Formal & Business

17%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, the phrase "right statistic" refers to a statistic that is accurate, relevant, and appropriate for a particular situation. Ludwig AI confirms that the expression is correct and usable in written English. It appears in various contexts, from news articles to scientific publications, emphasizing the crucial role of data accuracy in informed decision-making. While not extremely common, the phrase is well-understood and carries significant weight when discussing statistical analysis. Alternative phrases like "accurate statistic" or "relevant statistic" can be used depending on the specific nuance you want to convey. Ensure you're selecting and presenting data thoughtfully to avoid misinterpretations and to bolster the validity of your claims.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

accurate statistic

Focuses on the correctness and precision of the statistical data.

correct statistic

Emphasizes the factual accuracy of the statistical information.

appropriate statistic

Highlights the suitability and relevance of the statistic in a given context.

relevant statistic

Stresses the pertinence and applicability of the statistic to the matter at hand.

suitable statistic

Indicates that the statistic is well-fitted for its intended purpose.

pertinent statistic

Underscores the direct connection and importance of the statistic to the topic.

valid statistic

Highlights that the statistic is sound and methodologically correct.

precise statistic

Focuses on the level of detail and accuracy within the statistical data.

verified statistic

Implies the statistic has been checked and confirmed for accuracy.

validated statistic

Similar to verified, suggesting the statistic has undergone a validation process.

FAQs

How can I ensure I'm using the "right statistic"?

To ensure you're using the "right statistic", consider the context of your analysis, the question you're trying to answer, and the data available. Verify the source and methodology of the statistic to ensure its accuracy and relevance.

What does it mean to use an "accurate statistic" instead of the "right statistic"?

While both phrases relate to data, using an "accurate statistic" simply means the number is factually correct. The "right statistic", however, implies that it's also relevant and appropriate for the specific analysis or argument you're making.

In what situations is it crucial to identify the "right statistic"?

Identifying the "right statistic" is crucial in situations where decisions are being made based on data, such as in policy-making, business strategy, scientific research, and healthcare. Using an inappropriate statistic can lead to flawed conclusions and negative consequences.

What are some alternatives to saying "right statistic"?

Depending on the context, you could use alternatives like "appropriate statistic", "relevant statistic", or "suitable statistic". These alternatives emphasize the statistic's fitness for a particular purpose or situation.