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statistical distribution

Grammar usage guide and real-world examples

USAGE SUMMARY

"statistical distribution" is a correct and usable phrase in written English.
It is used to describe the pattern of values that occur in a set of data. For example, "The researchers used a binomial statistical distribution to compare the outcomes of the experiment."

✓ Grammatically correct

Science

News & Media

Encyclopedias

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

The CaveTable has a very skewed statistical distribution.

Three statistical distribution functions are compared.

(d) Statistical distribution of metal molecule coupling for Ni(nor) and Ni porph) single-molecule junctions.

Science & Research

Nature

It analyzes an image by counting the statistical distribution of the visual words it contains.

Arecchi, F. T. Measurement of the statistical distribution of Gaussian and laser sources.

Science & Research

Nature

Grey dots show log CO2 flux data statistical distribution of all the surveys.

Science & Research

Nature

In 1972, Hugh Montgomery, a mathematician at the University of Michigan, investigated the statistical distribution of the zeros.

Berg, B. & Lüscher, M. Definition and statistical distribution of a topological number in the lattice O(3) σ-model.

Science & Research

Nature

Maxwell-Boltzmann distribution law, a description of the statistical distribution of the energies of the molecules of a classical gas.

Encyclopedias

Britannica

The statistical distribution of ɛ0 and Γ for Ni(nor) and Ni porph) is shown in Fig. 4b,c.

Science & Research

Nature

A slim box plot has been added to show the statistical distribution of values in our sample.

Science & Research

Nature
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Expert writing Tips

Best practice

When describing data, clearly specify which "statistical distribution" is being used (e.g., normal, Poisson, binomial) for accurate interpretation.

Common error

Avoid assuming that a statistically significant difference in "statistical distribution" automatically translates to a meaningful real-world effect. Consider the magnitude of the difference and its practical implications.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

84%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "statistical distribution" functions as a noun phrase, typically serving as the subject or object of a sentence. According to Ludwig, it's a valid phrase in written English, used to describe the pattern of values within a dataset.

Expression frequency: Very common

Frequent in

Science

72%

News & Media

15%

Encyclopedias

3%

Less common in

Formal & Business

2%

Academia

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "statistical distribution" is a common and grammatically correct term used to describe the pattern of values in a dataset. As Ludwig AI confirms, it's widely employed in scientific, news, and encyclopedia contexts. Key related phrases include "probability distribution" and "frequency distribution". When writing, be precise about the type of distribution you're referencing. A common mistake is to assume that statistical significance automatically equals practical importance. By understanding these nuances, you can effectively use the term "statistical distribution" in your writing.

FAQs

How is a "statistical distribution" used in data analysis?

A "statistical distribution" is used to model the probabilities of different outcomes in a dataset, allowing for statistical inference and prediction.

What are some common types of "statistical distribution"?

Common types include the normal distribution, binomial distribution, Poisson distribution, and exponential distribution, each suited for different types of data and phenomena.

How does a "statistical distribution" differ from a frequency distribution?

A frequency distribution shows how often each value occurs in a dataset, while a "statistical distribution" models the theoretical probabilities of those values. See also "frequency distribution".

When should I use a non-parametric "statistical distribution"?

Use a non-parametric distribution when your data doesn't fit a known parametric distribution (like normal) or when you have limited assumptions about the underlying data.

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Source & Trust

84%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: