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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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a statistical test

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "a statistical test" is correct and usable in written English.
You can use it when referring to a method used to determine if there is a significant difference between groups or to assess hypotheses in research. Example: "To analyze the data, we conducted a statistical test to determine the significance of our findings."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Kolmogorov-Smirnov is a statistical test.

News & Media

The New Yorker

The analysts then ran a statistical test to measure clustering between regions of similar word preference.

News & Media

The Guardian

The results were analysed using a statistical test.

News & Media

The Economist

Zalesky, A. & Breakspear, M. Towards a statistical test for functional connectivity dynamics.

Science & Research

Nature

We analyzed 40 behaviors and performed a statistical test (t-test) contrasting both group's results.

You can look up more details of a statistical test if you need to.

Finally, we conducted a statistical test to find out which books were more likely to be on one group of readers' shelves than the other.

A statistical test is performed to confirm the significance of the results.

Then, a statistical test for differences between both methods must be performed.

Based on the reaction mechanism and a statistical test, a reliable kinetics model was proposed.

To take into account the possibility of heterogeneity across the studies, a statistical test was performed.

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Expert writing Tips

Best practice

When reporting results, specify the name of the statistical test used (e.g., t-test, chi-squared test) to ensure clarity and reproducibility.

Common error

Avoid equating a statistically significant p-value with practical importance. A small p-value indicates evidence against the null hypothesis, but doesn't necessarily imply a large or meaningful effect size.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

85%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "a statistical test" functions as a noun phrase, typically serving as the object of a verb or preposition. It refers to a specific procedure used to determine the likelihood of a hypothesis being true. Ludwig AI identifies it as correct and usable in written English.

Expression frequency: Very common

Frequent in

Science

60%

News & Media

20%

Academia

10%

Less common in

Formal & Business

5%

Encyclopedias

3%

Wiki

2%

Ludwig's WRAP-UP

The phrase "a statistical test" is a common and grammatically correct term used across various fields, predominantly in science, news media, and academia. Ludwig AI confirms its validity and usability. It refers to a specific procedure for evaluating data and determining the likelihood of a hypothesis. When using this phrase, specify the exact test for clarity. The register is generally formal and scientific, reflecting its prevalence in research and evidence-based decision-making. Be mindful of common errors like misinterpreting p-values. Alternatives include "a hypothesis test" or "a statistical analysis".

FAQs

How do I choose the right statistical test?

The choice of statistical test depends on the type of data you have (e.g., continuous, categorical), the research question you're trying to answer, and the assumptions of the test. Consult a statistician or relevant resources to ensure you select an appropriate test.

What does a statistically significant result from "a statistical test" mean?

A statistically significant result suggests that the observed effect is unlikely to have occurred by chance alone, assuming the null hypothesis is true. It does not necessarily prove causation or practical significance.

What are some alternatives to "a statistical test"?

Depending on the context, you could use "a hypothesis test", "a significance test", or "a statistical analysis".

What are the common errors to avoid when performing "a statistical test"?

Common errors include using the wrong test for the data type, violating the assumptions of the test, misinterpreting p-values, and failing to account for multiple comparisons. Always double-check your methodology and consult with a statistician if needed.

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Source & Trust

85%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

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