n = N /[1+N(e)^2]
where:
n = sample size
N = population size (the universe)
e = sampling error (usually .10, .05 and .01 acceptable error)
^ = raised to the power of
Note:
This particular formula has been called Slovin's formula here in the Philippines but I kind of doubt the attribution. I still cannot find the actual work of Slovin but Taro Yamane's work is set out clearly in his book referred below (I got a copy but this is already out of print) including the derivations of the formula. So while a lot of Statisticians here in the Philippines calls this Slovin's formula, I continue to assert that it is Yamane's formula until I can see the actual work of Slovin.
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Reference
Yamane, Taro. 1967. Statistics: An Introductory Analysis, 2nd Edition, New York. Harper and Row.
4 comments:
when to use yamane's formula? is there any differences with other formula? is there any specific criteria or conditions to use yamane's formula?
This formular normally goes with quantitative research
cochran formula
How can one be able to determine "e" or is it constant at 0.05?
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