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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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.
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
Sampling and Non sampling errors
Random Sampling
Incorrect sampling is when you give a certain wrong sample to what you really want to imply which may distract the receiver. Ex: There are two kids in front of you and want to be friends with you, one of them is good and the other one is bad, the good boy said "Hello mister I'm John and this is my friend Edward" "May we know your name?" You said " I'm..." then Edward distracted you and said " You know, you should talk a little more nicer like us".