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A sampling distribution refers to the distribution from which data relating to a population follows. Information about the sampling distribution plus other information about the population can be inferred by appropriate analysis of samples taken from a distribution.
Incorrect sampling is giving account of erroneous information. An example of incorrect sampling is an audit of merchandise in a retail store by an independent person with the risk of human error. A solution to avoiding the risk of incorrect sampling in the audit would be to have a team execute the task so information can be compared.
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You do not have all the information and so your conclusions are based on approximations.
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.