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What is another word for Sampling Bias?

Pronunciation: [sˈamplɪŋ bˈa͡ɪ͡əs] (IPA)

Sampling bias refers to the systematic error that occurs when the sample selected for a study fails to accurately represent the target population. It skews the results, rendering them unreliable and potentially misleading. Synonyms for sampling bias include selection bias, biased sampling, and systematic bias. Selection bias occurs when certain individuals or groups are more likely to be included or excluded from the sample, leading to a distorted representation. Biased sampling refers to the intentional or unintentional misrepresentation of the population due to flaws in the sampling methodology. Systematic bias refers to the consistent deviation from the true values due to flawed sampling methods, impacting the validity and generalizability of research findings.
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What are the opposite words for Sampling Bias?

Sampling bias refers to the tendency of a sample to be different from the population that it is intended to represent. Antonyms of the term include random sampling, representative sampling, and unbiased sampling. Random sampling is a method used to randomly select members of a population to form a sample. Representative sampling is a method used to select a sample that is representative of the population in terms of demographic, socioeconomic, and other relevant factors. Unbiased sampling is a method that aims to select a sample that is not influenced by any factors that may bias the results. These methods are essential in research to ensure that the results obtained are accurate and valid.

What are the antonyms for Sampling bias?

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