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normal distribution of

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "normal distribution of" is correct and usable in written English. You can use it when discussing statistical data that follows a normal distribution pattern. For example, "The normal distribution of test scores indicates that most students performed around the average." Alternative expressions include "Gaussian distribution of" and "bell curve of."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Normal distribution of data was verified by normality plots.

Science

Plosone

Normal distribution of data was established using D'Agostino-Pearson normality test.

Science

Plosone

Normal distribution of data was checked by the Komogorov-Smirnov normality test.

Science

Plosone

Moreover, normal distribution of the safety index values is analyzed through the normality test.

A normal distribution of the data was assessed by the D'Agostino & Pearson omnibus normality test.

Science

Plosone

A log-normal distribution of the data implies a normal distribution of the logarithmic data.

(2 Generate samples from a normal distribution of dimension.

The normal distribution of our data was tested before analysis.

Normal distribution of residuals was checked as well as heteroscedasticity.

However, normal distribution of variables is essential in geostatistical studies.

Normal distribution of data was tested via Kolmogorov-Smirnov test.

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Expert writing Tips

Best practice

When describing data, specify the parameters (mean and standard deviation) of the "normal distribution of" the data for clarity.

Common error

Avoid assuming that all data sets naturally follow a "normal distribution of". Always verify this assumption using appropriate statistical tests before applying methods that rely on it.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

82%

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Real-world application tested

Linguistic Context

The phrase "normal distribution of" functions as a descriptive noun phrase. It refers to a specific type of probability distribution in statistics. As Ludwig indicates, the phrase is commonly used in scientific literature to describe data patterns.

Expression frequency: Very common

Frequent in

Science

85%

News & Media

8%

Formal & Business

7%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "normal distribution of" is a frequently used term, particularly in scientific and statistical contexts, to describe data that follows a normal, bell-shaped curve. Ludwig confirms its grammatical correctness and prevalence in academic and scientific literature. When using this phrase, ensure that the underlying data indeed meets the criteria for normality before applying statistical methods that rely on this assumption. Alternative expressions include "gaussian distribution of" and "bell curve distribution of", each with slightly different connotations. While pervasive, always validate normality assumptions to avoid misinterpretations in data analysis.

FAQs

How is the phrase "normal distribution of" used in a sentence?

The phrase "normal distribution of" is used to describe data or variables that follow a normal, bell-shaped curve. For example, "The "normal distribution of" test scores indicates that most students performed around the average."

What are some alternatives to the expression "normal distribution of"?

You can use alternatives such as "gaussian distribution of" or "bell curve distribution of" to convey the same statistical concept.

When should I check for the "normal distribution of" data?

It's essential to verify the "normal distribution of" data before applying statistical tests that assume normality, such as t-tests or ANOVA, to ensure the validity of your results.

What does it mean if data does not show a "normal distribution of"?

If data does not exhibit a "normal distribution of", it may indicate skewness, kurtosis, or multimodality, suggesting the need for alternative statistical methods or data transformations.

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Real-world application tested

Most frequent sentences: