Question

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

Answer 1

Answer:

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.