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What is another word for oversampled?

Pronunciation: [ˌə͡ʊvəsˈampə͡ld] (IPA)

When it comes to conducting research, the term "oversampled" refers to the practice of deliberately increasing the representation of certain groups within a sample. To achieve a more accurate and robust analysis, researchers may opt for different synonyms for "oversampled". One alternative phrase could be "stratified sampling", which involves dividing the population into various subgroups and then selecting a proportional number of subjects from each group. Another synonym is "weighted sampling", which assigns different weights to individuals based on their characteristics, ensuring that underrepresented groups are given more prominence. By utilizing these alternative techniques, researchers can enrich their data collection process and enhance the validity of their findings.
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What are the opposite words for oversampled?

Undersampled is the antonym for oversampled, which means that data is not collected or represented enough. When data is undersampled, it can lead to skewed results, bias and inaccurate conclusions. This can occur in situations such as surveys or experiments where not enough data is gathered. Undersampling can also happen in digital signal processing when the rate of a signal is not captured enough, leading to loss of information. In contrast, oversampling collects the data more than necessary, which can lead to waste of resources and time. Therefore, it is important to find the right balance and avoid both under and oversampling to obtain accurate and reliable results.

What are the antonyms for Oversampled?

  • Other relevant words:

    • Other relevant words (noun):
    • undersampled
      • .

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