The difference between a sample mean and the population mean is called:
A)nonresponse error.
B)selection bias.
C)sampling error.
D)nonsampling error.

Question

Quizplus · Accepted Answer

The difference between a sample mean and the population mean is called sampling error, which reflects the natural variability between the sample and the entire population. Nonresponse error refers to the bias introduced in survey results due to nonresponse from some of the selected sample. Selection bias refers to the bias introduced by the non-random selection of individuals for the sample. Nonsampling error includes errors due to data collection, processing, and interpretation.

The Difference Between a Sample Mean and the Population Mean