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    Sample, as we know is a part of the population under study. The sample must be the 'true' representative of the population in terms of characteristics possessed by the population elements. It is difficult, actually impossible to draw a true sample from a population. The survey research pro will always try to draw a sample which is as close to 'true' as possible. There are two fundamental types
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    the 'true' representative of the population in terms of characteristics possessed by the population elements. It is difficult, actually impossible to draw a true sample from a population. The survey research pro will always try to draw a sample which is as close to 'true' as possible. There are two fundamental type
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    ed by the population elements. It is difficult, actually impossible to draw a true sample from a population. The survey research pro will always try to draw a sample which is as close to 'true' as possible. There are two fundamental type
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    rue sample from a population. The survey research pro will always try to draw a sample which is as close to 'true' as possible. There are two fundamental type
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    sample which is as close to 'true' as possible. There are two fundamental types of sampling technique - probability and non-probability sampling techniques. This article tries to illustrate two of the more important probability sampling techniques.

    1. Random Sampling - when all the elements have an equal chance of getting selected in the sample, it is termed as random sampling. It works

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