Sampling error assumes random sampling and is influenced by sample size and the diversity of cases in the sample.

Question

Quizplus · Accepted Answer

Sampling error occurs when the sample selected is different from the population in some way. It assumes random sampling, which means the sample is chosen entirely by chance. The amount of sampling error depends on the sample size and the diversity of cases in the sample. Therefore, option A is true.

Sampling Error Assumes Random Sampling and Is Influenced by Sample