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Sampling
The act or process of selecting a sample (people, organization etc) from a large group for analyzing, testing etc is sampling. The samples are taken for a motive and to represent large group. For example- it is not possible to count population. So instead of counting the entire population, the individuals in the sample are observed. Then as per the characteristics of the sample the approximate population is estimated.
Types of sampling:
Below are few frequently used sampling we have covered, there can be other types of sampling depending on the sampling procedure.
1) Purposive sampling: When the sample units are selected with specific motive or purpose, it is called purposive sampling. For example, if we want to find out the lower income group in a city, then middle income and higher income group will be ignored. The focus will only remain in lower group and accordingly the sample is taken.
2) Simple sampling: It is totally an unbiased technique where each unit of population has equal chance of being included. For example, there are 25000 individual who has bought lottery tickets. There is fair chance of any of them to win the lottery depending upon the ticket he has purchased from the sample.
3) Statistical sampling: Strategy applied by researcher during the statistical sampling process is statistical sampling. In this process, instead of taking the entire population, group of individuals are taken as a sample to draw any conclusion for the entire population. Statistical sampling also allows researchers to estimate the number of subject that can be included in the sample, like duration of the study, types of sampling technique etc, availability of the subject etc. All these factors help researcher to design his study.
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