skewed distribution

USAGE SUMMARY

The phrase "skewed distribution" is correct and usable in written English.
It is typically used in statistics to describe a distribution that is not symmetrical, where one tail is longer or fatter than the other. Example: "The data showed a skewed distribution, indicating that most of the values were concentrated on one side of the mean."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Although C-reactive protein has a skewed distribution, the residuals from this model were normally distributed.

Plosone

These averages, however, obscure a notoriously skewed distribution of income.

The New York Times

Modern media makes the skewed distribution of wealth, power and opportunity all too apparent.

The Guardian - Business

This is the inevitable outcome of a highly skewed distribution of income.

The Guardian - Opinion

"In both TechInc and FashInc, we found an extremely skewed distribution of customer profitability — which was consistent with our expectations...

Massachusetts Institute of Technology

The process of calibration, therefore, can result in a less positively skewed distribution of the go reaction time.

Nature

An important feature of the Barnett's natural gas production sites is a heavily skewed distribution of site-based CH4 emissions.

Nature

And skewed distribution data was used Wilcoxon rank test.

Intensive Care Medicine Experimental

They concluded a skewed distribution of molecular frameworks in drugs.

Journal of Cheminformatics

Another important point is the skewed distribution of the data.

Progress in Earth and Planetary Science

The skewed distribution mainly attributes to two reasons.

Lingua Sinica

Expert writing Tips

Best practice

When describing statistical data, specify the type and direction of the "skewed distribution" (e.g., positively skewed or right-skewed).

Common error

Avoid assuming that a "skewed distribution" implies a negative or undesirable outcome; skewness simply describes the shape of the data, not its inherent value or quality.

Linguistic Context

The phrase "skewed distribution" functions primarily as a noun phrase, often serving as the subject or object of a sentence when discussing statistical properties or data analysis. As Ludwig AI suggests, it describes a specific characteristic of data arrangement.

Expression frequency: Very common

Frequent in

Science

65%

Academia

15%

News & Media

10%

Less common in

Formal & Business

5%

Encyclopedias

3%

Wiki

2%

Ludwig's WRAP-UP

In summary, "skewed distribution" is a commonly used phrase, especially in scientific and statistical contexts, to describe data that isn't symmetrical around its mean. Ludwig AI confirms its correctness and usability. Key takeaways include recognizing different types of skewness (positive or negative), understanding the implications for statistical analysis, and knowing how to correct for it using transformations. As showcased by Ludwig, the phrase appears frequently in reputable sources like Nature, PlosOne and The New York Times, emphasizing its validity and importance in formal writing and research.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Asymmetrical distribution

Changes the adjective to emphasize the lack of symmetry.

Non-normal distribution

Focuses on the deviation from a normal distribution, which is often the point of comparison.

Uneven distribution

Emphasizes the lack of uniformity in the distribution.

Distorted distribution

Highlights the alteration or deformation of the distribution shape.

Biased distribution

Suggests that the distribution is unfairly weighted towards one side.

Lopsided distribution

Uses a more informal term to describe the unevenness.

Unbalanced distribution

Similar to 'uneven', but emphasizes the lack of equilibrium.

Asymmetric data spread

Replaces distribution with data spread and emphasizes asymmetry.

Non-symmetrical arrangement

Uses a more general term for arrangement instead of distribution.

Irregular frequency pattern

Describes the distribution in terms of frequency and irregularity.

FAQs

How can I identify a "skewed distribution" in my data?

You can identify a "skewed distribution" by visually inspecting a histogram or box plot. A long tail on one side indicates skewness. Statistical measures like skewness coefficient can also quantify the degree of skew.

What does a positive or negative "skewed distribution" mean?

A positively skewed distribution (right-skewed) has a longer tail on the right side, indicating higher values are more spread out. A negative skewed distribution (left-skewed) has a longer tail on the left side, indicating lower values are more spread out.

Why is it important to address "skewed distribution" in statistical analysis?

Addressing "skewed distribution" is crucial because many statistical tests assume normality. Skewness can violate these assumptions, leading to inaccurate results. Transformations, like logarithmic transformations, can normalize the data.

What are some alternatives to using the term "skewed distribution"?

You can use alternatives like "asymmetrical distribution", "non-normal distribution", or "uneven distribution" to describe a distribution that is not symmetrical.