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词汇 probability-sampling
释义 probability sampling
noun[ U ]
 MARKETINGukus
the process of getting information by asking questions of a group of people who are chosen by chance, so that the answers will be typical of those of the general population:
Based on a probability sampling, the activities were having the desired effect.
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non probability sampling

Examples of probability sampling


probability sampling
Probabilitysampling, or random sampling, is a sampling technique in which the probability of getting any particular sample may be calculated.
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Even studies intended to use probabilitysampling sometimes end up using nonprobability samples because of characteristics of the sampling method.
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Wikipedia

This example is from Wikipedia and may be reused under a CC BY-SA license.
The advantage of nonprobability sampling is its lower cost compared to probabilitysampling.
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Wikipedia

This example is from Wikipedia and may be reused under a CC BY-SA license.
In academic and government survey research, probabilitysampling is a standard procedure.
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Wikipedia

This example is from Wikipedia and may be reused under a CC BY-SA license.
If the intent is to generalize from the research participants to a larger population, the researcher will employ probabilitysampling to select participants.
From
Wikipedia

This example is from Wikipedia and may be reused under a CC BY-SA license.
Subjects were elderly community residents, ranging from 65 to 79 years old, randomly selected from the resident registration lists with a twostage probabilitysampling.
In the first stage, localities were divided into eight strata and then seventy-one localities were selected from these strata with simple probabilitysampling.
The basis of that survey was multi-stage probabilitysampling.
With probabilitysampling, each unit in the survey population has a known, positive probability of selection.
The sampling method employed for the educators was one of probabilitysampling.
These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.
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