This week in class we talked about sampling. Sampling occurs when the researcher gathers information from the subset of a population to make inferences. When sampling, it is a good idea to randomize where you get the information from, or else you might get false results.
When sampling, there are two different types of sampling, a sampling error, and a non sampling error. A sampling error occurs in the difference between the truth of the target population and its sample estimate. Non-sampling error is a measurement error, which are mistakes made by the researcher such as recording the information incorrectly, gathering it incorrectly, etc.
Can you think of a point in time where there was a sampling error? What about a non sampling error?
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