advantages:
reduce bias
easy of sampling
disadvantages:
sampling error
time consuming
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Simple Random Sample Stratified Random Sampling Cluster Sampling Systematic Sampling Convenience Sampling
Circular systematic sampling is a random sampling method. An example is random sampling of households. Assume that a random number generator provides the number 49 as a starting point. Starting with the household that is 49 on the target list, every nth household on the list would be sampled until the desired sample size is reached
Simple random sampling.
In stratified sampling, the population to be sampled is divided into groups (strata), and then a simple random sample from each strata is selected. For example, a state could be separated into counties, a school could be separated into grades. These would be the 'strata'.
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