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Describe the different types of sampling

Whenever we decide to take sample from a population it is necessary to choose some method in which sampling is to be done. There are various methods of choosing a sample from a population, depending on the nature of the data and the purpose of enquiry. However these various methods of sampling can be grouped under two broad heads : Probability sampling (alse known as random sampling) and non-probability (non random) sampling.

Probability sampling : Probability sampling methods are those in which every item in the universe has a known chance or probability of being chosen for the sample. This implies that the selection of the sample item is independent of the person making the study, i.e the items are chosen strictly at random.

Non Probability sampling : Non-probability sampling, also called ‘Purposive’ or ‘judgement’ sampling is the process where the sample is selected on the basis of experience or according to the conveneince of the user. Hence unlike random sampling, here, the probability of selection of some of the units of the population are very high, and some are less. This method is not recommended for general use. However in case of experined investigator judgement sampling may give valuable results.

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