The difference between a statistic and the parameter is called:(1 Point)Non-randomSampling errorRandomNone of these

The difference between a statistic and a parameter is referred to as a sampling error.

Definitions:

• A parameter is a numerical value summarizing a characteristic of a population, while a statistic is a numerical value summarizing a characteristic of a sample drawn from that population.

Evaluation of Options:

1. Non-random - This term typically refers to a sampling method rather than a description of the difference.
2. Sampling error - This specifically denotes the discrepancy between the sample statistic and the true population parameter due to the sample being a representation of the population rather than the entire population.
3. Random - This term relates to methods of sampling and does not address the difference between statisticians and parameters.
4. None of these - Since "sampling error" is a recognized term, this option can be ruled out.

Therefore, the correct answer is Sampling error.