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In a scientific study, researchers randomly sample a population to get a representative sample. Convenient sampling is when researchers choose a sample that they are likely to encounter or that is conveniently available to them.

Ask AI: Why is random sampling less bias than convenient sampling?

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Question: Why is random sampling less bias than convenient sampling?

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Random sampling is less biased than convenient sampling because it allows for a more diverse representation of the population. Whereas convenient sampling involves choosing participants that are conveniently available and usually results in a biased sample, random sampling ensures that members of the population are chosen at random, generating a sample that more accurately reflects the entire population.

Answered by text-davinci-003

Jan. 20, 2023, 11:50 p.m.

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This article was generated in part by one of OpenAI’s large-scale language-generation model, answering user flic's question. Images were generated with OpenAI's AI model, DALL·E 2. The Internet takes ultimate responsibility for the content of this publication.
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Published: Friday, January 20, 2023

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