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Biasing: meaning, definitions and examples

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biasing

 

[ ˈbaɪəsɪŋ ]

Verb / Noun
Context #1 | Verb

statistical analysis

Biasing refers to the process of causing a system to deviate from a neutral or fair position, often introducing an error in the results or outcomes. In statistical analysis, biasing may occur due to the selection of samples or the interpretation of data that leads to unfair advantages for one party over another.

Synonyms

distorting, influencing, skewing

Examples of usage

  • The study was criticized for biasing the sample selection.
  • Biasing the data can lead to misleading conclusions.
  • Unintentionally biasing the results affects the study's reliability.
Context #2 | Noun

psychological influence

Biasing, in psychology, refers to the tendency of people to think in a way that is influenced by personal opinions rather than objective facts. This can lead to cognitive errors and affect decision-making processes.

Synonyms

favoritism, partiality, prejudice

Examples of usage

  • Cognitive biasing can alter judgment and perception.
  • Biasing in decision-making processes can have significant impacts.
  • The influence of social biasing is often underestimated.

Translations

Translations of the word "biasing" in other languages:

🇵🇹 viés

🇮🇳 पक्षपातीकरण

🇩🇪 Voreingenommenheit

🇮🇩 bias

🇺🇦 упередженість

🇵🇱 stronniczość

🇯🇵 バイアス

🇫🇷 biais

🇪🇸 sesgo

🇹🇷 önyargı

🇰🇷 편향

🇸🇦 تحيز

🇨🇿 zkreslení

🇸🇰 predpojatosť

🇨🇳 偏见

🇸🇮 pristranskost

🇮🇸 hlutdrægni

🇰🇿 бұру

🇬🇪 გაგება

🇦🇿 qərəz

🇲🇽 sesgo

Word origin

The term 'bias' comes from the Old French word 'biais', meaning 'slant' or 'slope', and it can be traced further back to Latin 'bajare', which signifies 'to incline or slope'. Originally, it described a physical slant but over time evolved to capture various forms of prejudice and unfairness in judgment. The verb 'to bias' emerged in the 19th century, reflecting a more metaphorical sense of tilting perspectives. In contemporary usage, 'biasing' has expanded to include various domains such as statistics, psychology, and social sciences, where it denotes the introduction of systematic errors or distortions. Understanding bias and biasing processes is crucial in many fields, especially when aiming for objectivity and fairness.

Word Frequency Rank

Positioned at #22,948, this word is part of extensive vocabulary. It's relatively rare in general usage but may be important in specific fields or formal writing.