The difference between a sample mean and the population mean is called:

A) nonresponse error.
B) selection bias.
C) sampling error.
D) nonsampling error.

Sample Mean

The average value of a set of measurements or quantities collected from a sample.

Population Mean

The average value of a population parameter, which is the sum of all the values in the population divided by the number of values.

Sampling Error

Refers to the error caused by observing a sample instead of the whole population.