Chapter 7 - Section 7.1 - Sampling Distribution, Sampling Error, and Nonsampling Errors - Exercises - Page 280: 7.2

Sampling error is the difference between the value of a sample statistic and the value of the corresponding population parameter. The sampling error occurs only in sample survey, and not in a census, because a sampling error occurs because of chance. For example, suppose there are five customers in a restaurant at some day. The feedback marks given by these five customers are: 80, 90, 85, 75, 55. If we want to select three marks from the population, the mean of the result will be different from the result obtained from the corresponding population.

Sampling error is the difference between the value of a sample statistic and the value of the corresponding population parameter. The sampling error occurs only in sample survey, and not in a census, because a sampling error occurs because of chance. For example, suppose there are five customers in a restaurant at some day. The feedback marks given by these five customers are: 80, 90, 85, 75, 55. If we want to select three marks from the population, the mean of the result will be different from the result obtained from the corresponding population.