Variability: meaning, definitions and examples

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variability

 

[ ˌver.i.əˈbɪl.ə.ti ]

Context #1

statistical analysis

The extent to which data points in a statistical distribution differ from the mean value. Variability is a measure of dispersion or spread of data points around the mean.

Synonyms

diversity, fluctuation, variableness

Examples of usage

  • The variability of the data set was quite high, indicating a wide range of values.
  • Understanding the variability in the data is crucial for making accurate predictions.
Context #2

biology

The tendency of individuals in a population to differ from one another. Variability within a population can be influenced by genetic diversity and environmental factors.

Synonyms

diversity, heterogeneity, variation

Examples of usage

  • Genetic variability is important for the survival of a species in changing environments.
  • The study aimed to explore the variability in gene expression among different cell types.
Context #3

software development

The capability of a system or process to adapt to changing requirements or conditions. Variability in software design allows for customization and flexibility.

Synonyms

adaptability, customizability, flexibility

Examples of usage

  • The software framework was designed with built-in variability to accommodate diverse user needs.
  • Developers need to consider variability in user preferences when designing mobile applications.

Translations

Translations of the word "variability" in other languages:

🇵🇹 variabilidade

🇮🇳 परिवर्तनशीलता

🇩🇪 Variabilität

🇮🇩 variabilitas

🇺🇦 варіабельність

🇵🇱 zmienność

🇯🇵 変動性

🇫🇷 variabilité

🇪🇸 variabilidad

🇹🇷 değişkenlik

🇰🇷 변동성

🇸🇦 تغير

🇨🇿 variabilita

🇸🇰 variabilita

🇨🇳 变异性

🇸🇮 variabilnost

🇮🇸 breytileiki

🇰🇿 өзгергіштік

🇬🇪 ცვლილების უნარი

🇦🇿 dəyişkənlik

🇲🇽 variabilidad

Word origin

The word 'variability' originated from the Latin word 'variabilitas', which is derived from the root word 'varius' meaning 'different' or 'changing'. The concept of variability is fundamental in various fields such as statistics, biology, and software development, reflecting the inherent diversity and adaptability in natural and man-made systems.