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Glite Dictionary
🔗 Not normal (group theory) 📊 Not normal (statistics) 📐 Not normal (technical)
nonnormality

nonnormality

9.9
Data that do not follow the usual bell-shaped pattern used in statistics
  • noun
  • /ˌnɒnˈnɔːrməlɪti/
  • Specialized
translation icon : no normalidad
  • We performed a logarithmic transformation on it because of the nonnormality of the raw data.

Examples

  • The group sizes were roughly equal, which ensures that results are robust to violations of homogeneity of variance and nonnormality of distribution.

    Academic text (1997)

  • We evaluated all variables for nonnormality.

    Academic text (2012)

  • The researchers reported the nonnormality of their data set in the final analysis.

  • To ensure accurate results, the study addressed the nonnormality found in the distribution of responses.

  • Statistical tests can be affected by nonnormality, so it's important to check for it before proceeding.

Synonyms

anomaly
vsnonnormality
165 7.1

Something that is not normal or expected

describes a broader condition of differing from an expected distribution
abnormality
vsnonnormality
11 5.2

Something that is not normal and can be seen in the body or test results

describes technical deviation from expected statistical patterns without implying strangeness
unusualness
vsnonnormality
1 6.9

How different or rare something is compared with what people expect

refers to deviation specifically in expected statistical patterns, not just rarity
atypicality
vsnonnormality
8.3

Being different from the usual type or pattern

focuses on deviation from an expected statistical distribution

Antonyms

normality
13 3.5

A time when things are usual and happen as expected

How Normal

normality
13 3.5
nonnormality
  • Specialized
9.9
skewness
  • Specialized
1 7.7
irregularity
13 5.1
anomaly
165 7.1

Surface Forms

nonnormality singular
nonnormalities plural

Morphology

nonnormality = nonnormal (semi-transparent) = non + normal + ity

Morphologically transparent as 'non' + 'normal' + '-ity', but the intended meaning (deviation from a statistical normal distribution) is somewhat technical and may not be deducible by learners unfamiliar with 'normal distribution'.

Etymology

Nonnormality comes from non- meaning 'not' and normality meaning 'being normal' or 'following the usual pattern'. In statistics 'normal' often means the bell-shaped curve, so nonnormality means the data do not follow that usual pattern.