Select the order of sampling schemes from best to worst.
 The order of sampling schemes from best to worst can depend on the specific research question and context, but generally, the order of sampling schemes from most to least desirable is as follows:

1. Simple random sampling: This is the most basic and straightforward sampling scheme, where every member of the population has an equal chance of being selected for the sample. This method ensures that the sample is representative of the population and minimizes bias.
2. Stratified random sampling: This method involves dividing the population into homogeneous subgroups or strata, and then selecting a random sample from each stratum. This method can be more efficient than simple random sampling when the population is heterogeneous, as it ensures that each subgroup is adequately represented in the sample.
3. Cluster sampling: This method involves dividing the population into clusters or groups, and then selecting a random sample of clusters. This method can be more efficient than simple random sampling when the population is geographically dispersed, as it reduces the cost and time required to collect data.
4. Systematic sampling: This method involves selecting every nth member of the population for the sample. This method can be simpler and more efficient than simple random sampling, but it can be biased if there is a pattern in the population that is related to the sampling interval.
5. Convenience sampling: This method involves selecting members of the population who are easily accessible or convenient to study. This
Systematic, Stratified, Convenient, Random.