Incorrect sampling is when the wrong data or sample of something is taken or given during the testing or information gathering in a project, experiment, or work. Examples may include gathering soil samples instead of water samples.
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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.
simple random, stratified sampling, cluster sampling
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
Sampling and Non sampling errors
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