The function sample.size.mean returns the sample size needed for mean estimations either with or without consideration of finite population correction.

sample.size.mean(e, S, N = Inf, level = 0.95)

## Arguments

e positive number specifying the precision which is half width of confidence interval standard deviation in population positive integer for population size. Default is N=Inf, which means that calculations are carried out without finite population correction. coverage probability for confidence intervals. Default is level=0.95.

## Value

The function sample.size.mean returns a value, which is a list consisting of the components

call

is a list of call components: e precision, S standard deviation in population, and N integer for population size

n

estimate of sample size

## References

Kauermann, Goeran/Kuechenhoff, Helmut (2010): Stichproben. Methoden und praktische Umsetzung mit R. Springer.

## Author

Juliane Manitz

Smean, sample.size.prop

## Examples

# sample size for precision e=4
sample.size.mean(e=4,S=10,N=300)
#>
#> sample.size.mean object: Sample size for mean estimate
#> With finite population correction: N=300, precision e=4 and standard deviation S=10
#>
#> Sample size needed: 23
#> # sample size for precision e=1
sample.size.mean(e=1,S=10,N=300)
#>
#> sample.size.mean object: Sample size for mean estimate
#> With finite population correction: N=300, precision e=1 and standard deviation S=10
#>
#> Sample size needed: 169
#>