sample.size.mean: Sample Size Calculation for Mean Estimation

In samplingbook: Survey Sampling Procedures

Description

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

Usage

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

Arguments

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 N=Inf, which means that calculations are carried out without finite population correction.
level	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

Author(s)

Juliane Manitz

References

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

See Also

Smean, sample.size.prop

Examples

# sample size for precision e=4
sample.size.mean(e=4,S=10,N=300)
# sample size for precision e=1
sample.size.mean(e=1,S=10,N=300)

Example output

Loading required package: pps
Loading required package: sampling
Loading required package: survey
Loading required package: grid
Loading required package: Matrix
Loading required package: survival

Attaching package: 'survival'

The following objects are masked from 'package:sampling':

    cluster, strata


Attaching package: 'survey'

The following object is masked from 'package:graphics':

    dotchart


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.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

samplingbook documentation built on April 3, 2021, 1:06 a.m.