Course: SAMPLING THEORY
In systematic sampling, we use the same formula for finding a sample size as when we are dealing with a simple random sample. What are the consequences of doing this? Make sure to comment on each population type.
Systematic sampling is more easier than simple random sampling and it will give more correct information because it will contain every type of data present in the sample. And in random sampling by mistake we can pick same type of data from population.
Systematic sampling:we need to arrange the given data in an order and then pick every nth value. e. g. Suppose you want to know the everage age from a village. You sample 100 people and ask for their age. In order to do so you can collect a list naming all persons in village and then select every 20th person and ask their age. In this sampling you should have knowledge of population size in advance.
Simple random sampling: In this method you have to pick any n(sample size) people randomly. Here is no need to know population size in advance.
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