Weighting: meaning, definitions and examples

⚖️
Add to dictionary

weighting

 

[ ˈweɪtɪŋ ]

Noun
Context #1 | Noun

mathematical concept

Weighting refers to the process of giving different levels of importance or value to various components in a calculation or analysis. In statistics, weighting is often used to adjust the influence of certain data points to better reflect the overall population. It helps in obtaining more accurate and reliable results in various fields, including economics, social sciences, and finance.

Synonyms

emphasis, importance, value assignment

Examples of usage

  • We used weighting to adjust the results of the survey.
  • In the final grades, the weighting of the exam scores is significant.
  • The weighting system allows us to emphasize more important factors in our analysis.

Translations

Translations of the word "weighting" in other languages:

🇵🇹 pesagem

🇮🇳 वजन

🇩🇪 Gewichtung

🇮🇩 penimbangan

🇺🇦 вага

🇵🇱 ważenie

🇯🇵 重み付け

🇫🇷 pondération

🇪🇸 ponderación

🇹🇷 ağırlıklandırma

🇰🇷 가중

🇸🇦 تقييم

🇨🇿 vážení

🇸🇰 váženie

🇨🇳 加权

🇸🇮 utežitev

🇮🇸 vigt

🇰🇿 салмақ

🇬🇪 წონა

🇦🇿 çəki

🇲🇽 ponderación

Etymology

The term 'weighting' has its roots in the Middle English word 'weighten', which originally meant 'to weigh'. It derives from the Old English 'wēgan', signifying 'to weigh' or 'to carry'. The concept of weighting itself evolved with the growth of statistical methods and mathematical theories during the 18th and 19th centuries. As statistics emerged as a formal discipline, the need for methods to refine data analysis led to the introduction of weighting as a means to ensure results more accurately represented populations or phenomena. Over time, the usage of weighting expanded beyond mathematics into various fields, from economics to psychology, where the need to prioritize certain factors over others became essential for clarity and depth in research. Today, 'weighting' serves as a fundamental concept across multiple disciplines, denoting the importance of differentiating the influence of components in complex data sets.

Word Frequency Rank

Ranked #12,130, this word falls into high-advanced vocabulary. It appears less frequently but is valuable for expressing precise meanings in specific contexts.