Statistics-Types of Sample Surveys

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6 Terms

1
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Simple Random Sampling

Sample giving each member of the population an equal chance of being chosen

2
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Stratified Random Sampling

Population is divided into subgroups, so that the subjects within each subgroup have a common characteristic. A simple random sample is drawn from each subgroup according to their proportion of the population.

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Systematic Random Sampling

A starting point is chosen at random from the sampling frame and thereafter at regular intervals.

4
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Cluster Sampling

Population is divided into clusters, and some of these are chosen at random. Then units are chosen within each cluster.

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Quota Sampling

Selection of the sample is made by the interviewer, who has been given quotas to fill from specified sub-groups of the population.

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Convenience Sampling

Subjects are chosen in the most convenient way