sample.size.mean.Rd
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)
e | positive number specifying the precision which is half width of confidence interval |
---|---|
S | standard deviation in population |
N | positive integer for population size. Default is |
level | coverage probability for confidence intervals. Default is |
The function sample.size.mean
returns a value, which is a list consisting of the components
is a list of call components: e
precision, S
standard deviation in population, and N
integer for population size
estimate of sample size
Kauermann, Goeran/Kuechenhoff, Helmut (2010): Stichproben. Methoden und praktische Umsetzung mit R. Springer.
Juliane Manitz
# 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 #>