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Sampling PlansA discussion of different sampling techniques within the context is required.This might include understanding the different populations (undergraduate students, graduate studwhich would lend themselves to suggest stratified sampling, for example.If you were at an average university then you could start with periodic sampling of the students walis that you will have data from multiple groups rather than a concentration which could lend itself toStratified sampling woiuld possibly give you the best data sets due to the fact it would ensure you Cluster sampling would be a good way of conducting a complete census to get to the best conclusi
dents, or different majors or departments)lking in and out of random buildings. For instance you could stop every tenth person and get your datao being skewed. ask the same number of people from each subset. The problem would be getting the questions to eveion.