Difference between revisions of "Random sampling"
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An example is all eligible voters being equally likely to be included in a poll. This method does not ensure accuracy, but increases its likelihood. | An example is all eligible voters being equally likely to be included in a poll. This method does not ensure accuracy, but increases its likelihood. | ||
| − | In statistical studies, '''random sampling''' refers to the extraction of values (''sampling'') of a designated input probability distribution for ensuing statistical calculations. | + | In statistical studies, '''random sampling''' refers to the extraction of values (''sampling'') of a designated input [[probability distribution]] for ensuing statistical calculations, such that the relative [[probability]] of extraction is that indicated by the input [[probability density function]] in the case of a continuous distribution or the [[probability mass function]] in the case of a discrete distribution. |
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[[Category:United States Government]] | [[Category:United States Government]] | ||
[[Category:Probability]] | [[Category:Probability]] | ||
Revision as of 23:16, February 27, 2009
Random sampling is a statistical technique which gives everyone in the target group the same opportunity to participate in a poll.
An example is all eligible voters being equally likely to be included in a poll. This method does not ensure accuracy, but increases its likelihood.
In statistical studies, random sampling refers to the extraction of values (sampling) of a designated input probability distribution for ensuing statistical calculations, such that the relative probability of extraction is that indicated by the input probability density function in the case of a continuous distribution or the probability mass function in the case of a discrete distribution.