The difference between the sample statistic and actual value of the population parameter is referred to as the sampling error.

Question

Quizplus · Accepted Answer

This statement is true. The sampling error is the difference between the sample statistic (such as the sample mean or proportion) and the actual value of the population parameter (such as the population mean or proportion). It is caused by random sampling variability and can be reduced by increasing the sample size.

The Difference Between the Sample Statistic and Actual Value of the Population