Meaning & use
skewed distribution
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Meaning
nouncountabletechnical
A pattern of data in which values bunch up on one side and trail off in a long tail on the other, so it is not symmetrical.
Grammar: Countable: a skewed distribution, two skewed distributions.
Patterns
- a skewed distribution of something
- a distribution that is skewed to the right
Household income usually follows a skewed distribution because a few people earn very high amounts.
In a skewed distribution, the mean and the median are often far apart.
The teacher noticed a skewed distribution of marks, with most students scoring high.
Word forms
| plural | skewed distributions |
|---|
Common combinations
- positively skewed distribution
- Salaries often form a positively skewed distribution.
- negatively skewed distribution
- Scores on an easy test can create a negatively skewed distribution.
- right-skewed distribution
- The graph shows a right-skewed distribution with a long upper tail.
- analyze a skewed distribution
- Researchers must analyze a skewed distribution with care.
- highly skewed distribution
- A highly skewed distribution can make the average misleading.
Synonyms and how they differ
- asymmetric distribution
- A broader phrase meaning any lopsided shape, whereas skewed distribution points to one long tail in particular.
- lopsided distribution
- Informal and non-technical; skewed distribution is the term to use in a report or exam.
Opposites
Word family
- skew verb
- to distort so that something leans one way
- skewness noun
- a measure of how lopsided a distribution is
- skewed adjective
- leaning or distorted to one side
- distribute verb
- to spread or share out
Commonly confused: skewed distribution or normal distribution?
skewed distribution vs normal distribution
A normal distribution is symmetrical and bell-shaped, while a skewed distribution has one longer tail.
Practice
In a right-skewed distribution, where is the long tail?
Choose one answer.
Right-skewed (positive) means the tail stretches toward higher values. Equal tails on both sides would describe a symmetric distribution.
Make it your own
Write a sentence using “skewed distribution”, then check it and compare it with the examples above.