The main advantages of stratified sampling are that parameter estimation of each layer can be obtained; the sample for stratified sampling is more representative than that for random sampling, thereby improving the accuracy of the parameter estimation; and it greatly reduces the investigation sample size compared with random sampling. Both random sampling and stratified sampling require a certain workload of preinvestigation beforehand to obtain the variance and to further determine the sampling rate.