The difference between the sample statistic and population parameter is called:

The difference between the sample statistic and population parameter is called sampling error.

Step-by-step explanation:

We are given the following in the question:

A sample is a part of population, it is a subset of population.A sample statistic describes the sample. It is a characteristic of sample and different from the population.A parameter describes the population. It is characteristic of a population.A sample may not be able to represent the whole population and this may lead to error.Thus, sampling error is the difference between the sample statistic and population parameter.It arises when the sample is not able to describe the population.

The difference between the sample statistic and population parameter is called sampling error.