Used and loved by millions

Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

MitStanfordHarvardAustralian Nationa UniversityNanyangOxford

a uniform distribution

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "a uniform distribution" is correct and usable in written English.
It is generally used in mathematics to refer to a frequency distribution in which all outcomes are equally likely. For example, if you toss a fair coin 10 times, you would expect to get 5 heads and 5 tails in a uniform distribution.

✓ Grammatically correct

Science

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

The MSs are arbitrarily distributed following a uniform distribution.

The positions of the settlements are randomly distributed using a uniform distribution.

Science

Plosone

Generated from a uniform distribution.

assuming a uniform distribution of an ant's positions.

Science & Research

Nature

EDS mapping reveals a uniform distribution of fluorine in the LNF15 particle, along with other elements.

Science & Research

Nature

By maximizing this term the algorithm achieves a uniform distribution of points on all related surfaces.

Science & Research

Nature

Lower SD indicates a uniform distribution of dCas9-GFP in the nucleus.

Science & Research

Nature

The scission process seems random, which suggests a uniform distribution of tension along the backbone.

Science & Research

Nature

A uniform distribution, where there's a uniform probability over interval, over the parameter space.

We chose the following: an x4 curve, followed by a uniform distribution, then another x4 curve.

Among the European-American population, there is a uniform distribution across the United States.

Show more...

Expert writing Tips

Best practice

When describing data, specify the range over which the "a uniform distribution" applies to provide context. For example, state it's "a uniform distribution between 0 and 1".

Common error

Ensure you're not simply stating something is random when you specifically mean it follows "a uniform distribution". Randomness doesn't inherently imply equal probability for all outcomes.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

81%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "a uniform distribution" functions as a noun phrase, typically serving as the subject or object of a sentence. It's used to describe a specific type of probability distribution. Ludwig AI affirms its correct usage.

Expression frequency: Very common

Frequent in

Science

65%

Academia

25%

Encyclopedias

5%

Less common in

Formal & Business

2%

News & Media

2%

Reference

1%

Ludwig's WRAP-UP

In summary, "a uniform distribution" is a noun phrase that describes a probability distribution where all outcomes are equally likely. It is grammatically correct and very commonly used, primarily in scientific and academic contexts. Ludwig AI confirms its accuracy. When writing, specifying the range is crucial for clarity, and it's important not to confuse general randomness with this specific type of distribution. Related phrases include "a uniform allocation" and "an even distribution". The phrase is most often found in the authoritative sources as Nature and PlosOne.

FAQs

How is "a uniform distribution" used in statistics?

In statistics, "a uniform distribution" models situations where all outcomes within a given range are equally likely. It's often used as a baseline or null hypothesis to compare against other distributions.

What is the difference between "a uniform distribution" and a normal distribution?

"A uniform distribution" implies that all values within a range are equally probable, while a normal distribution has a bell-shaped curve, meaning values near the average are more probable. They are fundamentally different distribution types.

How can I simulate data from "a uniform distribution"?

Most programming languages and statistical software packages have functions to generate random numbers from "a uniform distribution". For example, in Python, you can use the random.uniform() function.

What are some real-world examples of "a uniform distribution"?

A simple example is rolling a fair die; each number has an equal chance of appearing. Another is randomly selecting a number from a predefined range where each number has an equal chance of selection.

ChatGPT power + Grammarly precisionChatGPT power + Grammarly precision
ChatGPT + Grammarly

Editing plus AI, all in one place.

Stop switching between tools. Your AI writing partner for everything—polishing proposals, crafting emails, finding the right tone.

Source & Trust

81%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: