Compares outcomes of simple random sampling, stratified random sampling and cluster sampling
Usage
runSampDesign(n = 20)
Arguments
n
The number of samples to be randomly selected from a population of 400.
Value
A plot is returned.
Details
Returns a plot comparing outcomes of random sampling, stratified random sampling and cluster sampling from a population
of size 400. For startified random sampling the population is subdivided into four equally strata of size 100.
and n/4 samples are taken within each strata. For cluster sampling the population is subdivided into four
equally sized clusters and a census is taken from two clusters (regardless of specification of n).