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Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

MitStanfordHarvardAustralian Nationa UniversityNanyangOxford

for statistical evaluation

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "for statistical evaluation" is correct and usable in written English.
It can be used when referring to the process of analyzing data to draw conclusions or make decisions based on statistical methods. Example: "The data was collected for statistical evaluation to determine the effectiveness of the new treatment."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

The SPSS 20.0 software package was used for statistical evaluation; p < 0.05 was considered statistically significant.

ANOVA was used for statistical evaluation.

SPSS software (Version 14.0) was used for statistical evaluation.

A lack of available data for statistical evaluation of the ranking capability further complicates the task.

GraphPad Prism 6 software was used for statistical evaluation and graphical display.

These tracings were analyzed separately, and two sets of readings were obtained for statistical evaluation.

For statistical evaluation, the Wilcoxon test and Pearson correlation coefficient were used.

The aim of our work was to elaborate the method for statistical evaluation of differences.

The 2-tailed Student t test was used for statistical evaluation.

ANOVA test was used for statistical evaluation.

Science

Plosone

Ten minutes of resting EEG were employed for statistical evaluation.

Science

Plosone
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Expert writing Tips

Best practice

When using "for statistical evaluation", ensure that the statistical methods are appropriate for the type of data you are analyzing. Specify the software or techniques used, such as SPSS, ANOVA, or t-tests, for clarity.

Common error

Avoid overstating the importance of statistically significant results without considering the practical significance or the limitations of the study design. Statistical significance doesn't always equate to real-world relevance.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

82%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "for statistical evaluation" functions as a prepositional phrase indicating the purpose of an action. It clarifies why data is collected or processed, as seen in Ludwig's examples where various software and methods are employed.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Encyclopedias

0%

Ludwig's WRAP-UP

The phrase "for statistical evaluation" is a common and grammatically correct phrase used to indicate the purpose of analyzing data using statistical methods. Ludwig AI confirms its usability in written English. Predominantly used in scientific and academic contexts, it clarifies that data is being processed to draw conclusions or make informed decisions. The related phrases offer alternative ways to express this purpose, varying in formality and specific focus. When using this phrase, specify the statistical methods and software used for clarity, and avoid overstating the significance of results without considering practical relevance.

More alternative expressions(10)

Phrases that express similar concepts, ordered by semantic similarity:

to perform statistical assessment

Swaps "evaluation" with "assessment", maintaining a similar level of formality but slightly shifting the focus to the process of assessing data.

in order to conduct statistical analysis

This alternative uses more formal vocabulary, replacing "evaluation" with "analysis" and adding the explicit purpose connector "in order to".

with the aim of statistical analysis

Emphasizes the intention behind the data processing, substituting "for" with "with the aim of".

to undertake statistical scrutiny

Replaces "evaluation" with "scrutiny", suggesting a more detailed and critical examination of the data.

for the purpose of statistical interpretation

Focuses on the interpretive aspect of the analysis, replacing "evaluation" with "interpretation".

to enable statistical comparison

Highlights the use of evaluation to allow comparing different data sets.

to facilitate statistical validation

Emphasizes the process of validating statistical findings, replacing "evaluation" with "validation".

for quantitative assessment

Switches the focus to the quantitative nature of the assessment, using "quantitative assessment" instead of explicitly mentioning statistics.

for data-driven insight

This alternative phrase changes from 'statistical evaluation' to 'data-driven insight' to showcase the aim of getting valuable and well-founded observations from data.

for evidence-based inference

Changes the focus from evaluation to drawing conclusions based on evidence derived from statistical methods.

FAQs

How do I use "for statistical evaluation" in a sentence?

You can use "for statistical evaluation" to describe the purpose of data analysis, such as: "The collected data was used "for statistical evaluation" to determine the effectiveness of the treatment."

What's a simpler alternative to "for statistical evaluation"?

A simpler alternative could be "for data analysis" or "for statistical analysis", depending on the context.

Is it always necessary to specify "statistical" when using "for evaluation"?

No, it's not always necessary. If the context makes it clear that the evaluation involves statistical methods, you can simply say "for evaluation". However, including "statistical" adds precision.

What statistical tools are commonly used "for statistical evaluation"?

Common tools include software packages like SPSS, GraphPad Prism, and SAS, as well as statistical tests such as ANOVA, t-tests, and regression analysis, which are selected based on the research question and data type.

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Source & Trust

82%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: