For analyzing the data we cannot proceed with the whole volume at once for large datasets. We need to take some samples from the data which can represent the whole population. While making a sample out of complete data, we should take that data which can be a true representative of the whole data set.

There are mainly two types of Sampling techniques based on Statistics.

Probability Sampling and Non Probability Sampling

Probability Sampling – Simple Random, Clustered Sampling, Stratified Sampling.

Non Probability Sampling – Convenience Sampling, Quota Sampling, Snowball Sampling.