Imputed: meaning, definitions and examples

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imputed

 

[ ɪmˈpjuːtɪd ]

Verb
Context #1 | Verb

data analysis

Imputed refers to the process of replacing missing data with substituted values. This technique is commonly used in statistics to create a complete dataset from incomplete data. By imputing values, researchers and analysts can reduce bias and maintain the integrity of their analyses.

Synonyms

filled in, replaced, substituted.

Examples of usage

  • The missing values were imputed using the mean of the column.
  • To improve accuracy, several datasets had their missing entries imputed.
  • In our study, we imputed the data using regression methods.
Context #2 | Verb

legal

In legal contexts, imputed can refer to attributing a characteristic or responsibility to someone, often in discussions of liability or offenses. For instance, a parent may be imputed with the actions of their child under certain circumstances.

Synonyms

ascribed, attributed, charged.

Examples of usage

  • The parent's negligence was imputed to the child.
  • His actions were imputed to the corporation he represented.
  • In this case, the liability was imputed onto the board of directors.

Translations

Translations of the word "imputed" in other languages:

🇵🇹 imputado

🇮🇳 आविष्ट किया गया

🇩🇪 imputiert

🇮🇩 ditambahkan

🇺🇦 імпутований

🇵🇱 imputowany

🇯🇵 インプットされた

🇫🇷 imputé

🇪🇸 imputado

🇹🇷 girdi

🇰🇷 입력된

🇸🇦 مُدرَج

🇨🇿 imputovaný

🇸🇰 imputovaný

🇨🇳 输入的

🇸🇮 imputiran

🇮🇸 innskráð

🇰🇿 енгізілген

🇬🇪 შესატყვისი

🇦🇿 daxil edilmiş

🇲🇽 imputado

Etymology

The term 'imputed' originates from the Latin word 'imputare', which means 'to reckon, attribute, or charge'. It was formed from the combination of 'in-' meaning 'in' and 'putare' meaning 'to settle, reckon'. This term has been used in various disciplines such as mathematics, statistics, and law since the early 20th century. In statistical contexts, imputing data has become a critical technique as data analysis has evolved with increasing complexity and the need for completeness in datasets. The necessity to fill in gaps in data has been emphasized in the era of big data, where incomplete datasets could lead to misleading conclusions. As a result, the practice of 'imputation' has been studied extensively, leading to the development of many methods for effective data handling.

Word Frequency Rank

Ranked #11,795, this word falls into high-advanced vocabulary. It appears less frequently but is valuable for expressing precise meanings in specific contexts.