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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.
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.
A counterexample.
This type of sampling method is used when data is gathered by sampling individuals from a certain group. For example, a researcher may ask for a sample of 200 students from an ivy league school as a sample for their survey.
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.