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What are some of the techniques used for sampling? What is the main advantage of sampling?

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Data analysis can not be done on a whole volume of data at a time especially when it involves larger datasets. It becomes crucial to take some data samples that can be used for representing the whole population and then perform analysis on it. While doing this, it is very much necessary to carefully take sample data out of the huge data that truly represents the entire dataset.

There are majorly two categories of sampling techniques based on the usage of statistics, they are:

  • Probability Sampling techniques: Clustered sampling, Simple random sampling, Stratified sampling.
  • Non-Probability Sampling techniques: Quota sampling, Convenience sampling, snowball sampling, etc.