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In [[sampling theory]], '''sampling fraction''' is the ratio of sample size to population size or, in the context of [[stratified sampling]], the ratio of the sample size to the size of the stratum.<ref>{{cite book|last=Dodge|first=Yadolah|title=The Oxford Dictionary of Statistical Terms|publisher=Oxford University Press|location=Oxford|date=2003|isbn=0-19-920613-9|language=English}}</ref> | |||
The formula for the sampling fraction is | |||
:<math>f=\frac{n}{N},</math> | |||
where ''n'' is the sample size and ''N'' is the population size. If the sampling fraction is less than 5%, then the finite population effect might be ignored.{{clarify|date=January 2012}} | |||
==References== | |||
<references/> | |||
[[Category:Sampling (statistics)]] | |||
[[Category:Statistical ratios]] | |||
{{Statistics-stub}} | |||
Revision as of 18:00, 29 January 2014
In sampling theory, sampling fraction is the ratio of sample size to population size or, in the context of stratified sampling, the ratio of the sample size to the size of the stratum.[1] The formula for the sampling fraction is
where n is the sample size and N is the population size. If the sampling fraction is less than 5%, then the finite population effect might be ignored.Template:Clarify
References
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